Oral device and information generation method, molding method, system and storage medium thereof

Abstract

The present invention discloses an oral device and its information generation method, molding method, system and storage medium. The oral device information generation method comprises: obtaining at least one set of original oral data pointing to at least the target oral tissue; analyzing the distribution and occupancy of the target oral tissue in the inner cavity space dimension according to the original oral data to obtain at least one set of oral feature data; determining and traversing the oral feature data in a preset target device information library according to the target device type to determine the oral device information that is closest to the oral feature data in the spatial dimension. The oral device information generation method provided by the present invention can avoid selection errors and dependence on clinical experience, and improve the matching degree between oral device information and models or actual conditions.

Description

Technical Field

[0001] The present invention relates to the technical field of medical devices, and in particular to an oral device and an information generation method, a molding method, a system and a storage medium thereof. Background Art

[0002] As people's demand for aesthetic appearance and personal health gradually increase, how to improve the internal environment of the oral cavity, especially the function and arrangement of tissues such as teeth and muscles, has gradually become a focus of public attention and one of the development directions in this field.

[0003] Taking oral myofunctional training as an example, the oral myofunctional training devices or oral myofunctional therapeutic devices provided in the prior art usually have relatively fixed models and sizes. After evaluating the intraoral tissue environment of the patient, the clinician manually determines the oral device that is suitable for the intraoral tissue environment of the patient. However, since this process requires manual intervention and is completely dependent on the operating level and clinical experience of medical workers, it is inevitable that certain selection errors will occur, resulting in the final oral myofunctional training device not fully fitting the actual situation inside the patient's mouth, affecting the effect of training or treatment, and bringing a poor user experience to the patient. Summary of the invention

[0004] One of the purposes of the present invention is to provide a method for generating oral instrument information to solve the technical problems in the prior art that the selection of information such as oral instrument model and size is completely dependent on manual work, which is prone to selection errors and dependence on clinical experience, resulting in poor fit between the oral instrument information and the actual oral situation, poor usage experience, and affecting training or treatment effects.

[0005] One of the objectives of the present invention is to provide another method for generating oral appliance information.

[0006] One of the objectives of the present invention is to provide an oral appliance information generation system.

[0007] One of the objectives of the present invention is to provide a storage medium.

[0008] One of the objects of the present invention is to provide an oral appliance.

[0009] One of the purposes of the present invention is to provide a method for forming an oral appliance.

[0010] To achieve one of the above-mentioned purposes of the invention, an embodiment of the present invention provides a method for generating oral instrument information, comprising: obtaining at least one set of original oral data pointing to at least a target oral tissue; analyzing the distribution and occupancy of the target oral tissue in the inner cavity space dimension based on the original oral data to obtain at least one set of oral feature data; according to the target instrument type, determining and traversing a preset target instrument information library based on the oral feature data to determine the oral instrument information that is closest to the oral feature data in the spatial dimension.

[0011] As a further improvement of an embodiment of the present invention, the "obtaining at least one set of original oral data pointing to at least the target oral tissue" specifically includes: obtaining and establishing an oral three-dimensional model based on an oral silicone model and / or an oral scanning model; determining the original oral data pointing to at least the target oral tissue based on the oral three-dimensional model; or, obtaining and determining the original oral data pointing to at least the target oral tissue based on the intraoral image data.

[0012] As a further improvement of an embodiment of the present invention, the "determining at least the original oral data pointing to the target intraoral tissue based on the oral three-dimensional model" specifically includes: traversing and judging whether the oral three-dimensional model satisfies a preset integrity condition; if not, obtaining the intraoral image data corresponding to the oral three-dimensional model, and refitting and determining at least the original oral data pointing to the target intraoral tissue based on the characteristics of the target intraoral tissue according to the intraoral image data; the "determining at least the original oral data pointing to the target intraoral tissue based on the intraoral image data" specifically includes: traversing and judging whether the intraoral image data satisfies a preset integrity condition; if not, obtaining the oral three-dimensional model corresponding to the intraoral image data, and refitting and determining at least the original oral data pointing to the target intraoral tissue based on the characteristics of the target intraoral tissue according to the intraoral image data and the oral three-dimensional model.

[0013] As a further improvement of an embodiment of the present invention, the "obtaining at least one set of original oral data pointing at least to the target intraoral tissue" specifically includes: obtaining intraoral image data, and a corresponding three-dimensional oral model; wherein the three-dimensional oral model is established based on an oral silicone model and / or an oral scanning model; based on the intraoral image data and the three-dimensional oral model, fitting and determining the original oral data pointing at least to the target intraoral tissue based on the characteristics of the target intraoral tissue.

[0014] As a further improvement of an embodiment of the present invention, the method specifically includes: receiving a standard three-dimensional model formed after identifying and cropping the target intraoral tissue, and using edge feature data of the standard three-dimensional model as at least part of the original oral data; the method specifically includes: receiving a standard intraoral image formed after identifying and cropping the target intraoral tissue, and using edge feature data of the standard intraoral image as at least part of the original oral data.

[0015] As a further improvement of an embodiment of the present invention, before "receiving a standard three-dimensional model formed after identifying and cropping the target intraoral tissue", it also includes: inputting the oral three-dimensional model into a preset region recognition neural network model to obtain the standard three-dimensional model; before "receiving a standard intraoral image formed after identifying and cropping the target intraoral tissue", it also includes: inputting the intraoral image data into a preset region recognition neural network model to obtain the standard intraoral image.

[0016] As a further improvement of an embodiment of the present invention, the target oral tissue includes a vestibule groove, the oral feature data includes vestibule groove height data, and the original oral data includes frontal image data; the "analyzing the distribution and occupancy of the target oral tissue in the inner cavity space dimension according to the original oral data to obtain at least one set of oral feature data" specifically includes: traversing all pixel parameters in the frontal image data, determining a first tooth position located in the upper jaw and a second tooth position located in the lower jaw, and using the coordinates of the midpoint of the gingival margin corresponding to the first tooth position as the first coordinates of the first tooth position, and using the coordinates of the midpoint of the gingival margin corresponding to the second tooth position as the The second coordinate of the second tooth position; starting from the first coordinate, traversing the pixel parameters in the front view image data along the second direction away from the crown of the first tooth position, determining the upper groove bottom pixel point located at the bottom of the upper vestibule groove, and obtaining the corresponding first groove bottom coordinate; wherein the second direction is the length extension direction of the tooth; starting from the second coordinate, traversing the pixel parameters in the front view image data along the second direction away from the crown of the second tooth position, determining the lower groove bottom pixel point located at the bottom of the lower vestibule groove, and obtaining the corresponding second groove bottom coordinate; calculating the vestibule groove height data in the oral feature data according to the first groove bottom coordinate and the second groove bottom coordinate.

[0017] As a further improvement of an embodiment of the present invention, the first tooth position represents the position of the central incisor, and the second tooth position represents the position of the lateral incisor, and the "calculating the vestibule groove height data in the oral feature data according to the first groove bottom coordinate and the second groove bottom coordinate" specifically includes: calculating the distance between the first groove bottom coordinate and the second groove bottom coordinate in the extension direction of the tooth midline to obtain the vestibule groove height data.

[0018] As a further improvement of an embodiment of the present invention, the "calculating the vestibule groove height data in the oral feature data according to the first groove bottom coordinates and the second groove bottom coordinates" specifically includes: traversing all the tooth positions located in the upper jaw in the frontal image data, respectively calculating the corresponding groove bottom coordinates, and obtaining an upper groove bottom coordinate set including the first groove bottom coordinates; traversing all the tooth positions located in the lower jaw in the frontal image data, respectively calculating the corresponding groove bottom coordinates, and obtaining a lower groove bottom coordinate set including the second groove bottom coordinates; calculating the vestibule groove height data according to the upper groove bottom coordinate set and the lower groove bottom coordinate set.

[0019] As a further improvement of an embodiment of the present invention, the "calculating the vestibule groove height data according to the upper groove bottom coordinate set and the lower groove bottom coordinate set" specifically includes: fitting the upper groove bottom distribution curve and the lower groove bottom distribution curve according to the upper groove bottom coordinate set and the lower groove bottom coordinate set, and calculating the distance between the upper groove bottom distribution curve and the lower groove bottom distribution curve in the extension direction of the tooth midline to obtain several groups of groove bottom spacing values; traversing to obtain a group of groove bottom spacing values ​​with the largest value among the several groups of groove bottom spacing values, extracting and using them as the vestibule groove height data.

[0020] As a further improvement of an embodiment of the present invention, the "taking the first coordinate as the starting point, traversing the pixel parameters in the front-view image data along the second direction away from the crown of the first tooth position, determining the upper groove bottom pixel point located at the bottom of the upper vestibule groove, and correspondingly obtaining the first groove bottom coordinates" specifically includes: taking the first coordinate as the starting point, traversing the pixel parameters in the front-view image data along the second direction away from the crown of the first tooth position, and obtaining the first reference point representing the first tooth position root ridge and the first reference coordinate corresponding thereto; determining the upper groove bottom pixel point located at the bottom of the upper vestibule groove according to the first reference coordinate and a preset groove bottom prediction window, and correspondingly obtaining The first groove bottom coordinates; the "taking the second coordinates as the starting point, traversing the pixel parameters in the front view image data along the second direction away from the second tooth crown, determining the lower groove bottom pixel point located at the bottom of the lower vestibule groove, and obtaining the corresponding second groove bottom coordinates", specifically includes: taking the second coordinates as the starting point, traversing the pixel parameters in the front view image data along the second direction away from the second tooth crown, obtaining the second reference point representing the second tooth root ridge and the corresponding second reference coordinates; determining the lower groove bottom pixel point located at the bottom of the lower vestibule groove according to the second reference coordinates and the groove bottom prediction window, and obtaining the corresponding second groove bottom coordinates.

[0021] As a further improvement of an embodiment of the present invention, the length of the groove bottom prediction window is 1 mm-2 mm.

[0022] As a further improvement of an embodiment of the present invention, the oral feature data includes dental arch width data, and the original oral data includes at least one of front view image data, maxillary upward view image data and mandibular downward view image data; the "analyzing the distribution and occupancy of the target oral tissue in the inner cavity space dimension according to the original oral data to obtain at least one set of oral feature data" specifically includes: traversing all pixel parameters in the original oral data, determining the third tooth position and the fourth tooth position located on the first maxillary face, and using the coordinates of the midpoint of the gingival margin corresponding to the third tooth position as the third coordinate of the third tooth position, and using the coordinates of the midpoint of the gingival margin corresponding to the fourth tooth position as the The fourth coordinate of the fourth tooth position; wherein the first maxillary surface is at least one of the maxillary or mandibular; taking the third coordinate as the starting point, traversing the pixel parameters in the original oral data in the direction away from the crown of the third tooth position, obtaining a third reference point representing the root ridge of the third tooth position and the third reference coordinate corresponding thereto; taking the fourth coordinate as the starting point, traversing the pixel parameters in the original oral data in the direction away from the crown of the fourth tooth position, obtaining a fourth reference point representing the root ridge of the fourth tooth position and the fourth reference coordinate corresponding thereto; calculating the dental arch width data in the oral feature data according to the third reference coordinate and the fourth reference coordinate.

[0023] As a further improvement of an embodiment of the present invention, the "calculating the dental arch width data in the oral feature data according to the third reference coordinate and the fourth reference coordinate" specifically includes: determining the third groove bottom coordinate of the groove bottom pixel point located at the bottom of the vestibule groove according to the third reference coordinate and the preset groove bottom prediction window; determining the fourth groove bottom coordinate of the groove bottom pixel point located at the bottom of the vestibule groove according to the fourth reference coordinate and the preset groove bottom prediction window; calculating the dental arch width data in the oral feature data according to the third groove bottom coordinate and the fourth groove bottom coordinate; wherein the length of the groove bottom prediction window is 0mm-2mm.

[0024] As a further improvement of an embodiment of the present invention, the third tooth position represents the position of the molar on one side in the dentition, and the fourth tooth position represents the position of the molar on the other side in the dentition, and the "calculating the dental arch width data in the oral feature data according to the third groove bottom coordinate and the fourth groove bottom coordinate" specifically includes: calculating the distance between the third groove bottom coordinate and the fourth groove bottom coordinate in the first direction to obtain the dental arch width data; wherein, the first direction is the width extension direction of the central incisor.

[0025] As a further improvement of an embodiment of the present invention, the "calculating the dental arch width data in the oral feature data according to the third groove bottom coordinate and the fourth groove bottom coordinate" specifically includes: traversing all tooth positions located on the first maxillary surface in the original oral data, and calculating the corresponding groove bottom coordinates respectively to obtain a first groove bottom coordinate set including the third groove bottom coordinate and the fourth groove bottom coordinate; according to the first groove bottom coordinate set, calculating the maximum coordinate difference in the first direction to obtain the dental arch width data; wherein, the first direction is the width extension direction of the central incisor.

[0026] As a further improvement of an embodiment of the present invention, the "calculating the maximum coordinate difference in the first direction according to the first groove bottom coordinate set to obtain the dental arch width data" specifically includes: fitting the first groove bottom distribution curve according to the first groove bottom coordinate set, and calculating the coordinate difference in the first direction of the groove bottom coordinates that are symmetrical with each other with the tooth midline as the symmetry axis in the first groove bottom distribution curve to obtain several groups of dental arch width values; traversing to obtain the group of dental arch width values ​​with the largest value among the several groups of dental arch width values, extracting and using them as the dental arch width data.

[0027] As a further improvement of an embodiment of the present invention, the target oral tissue includes a vestibule groove, the oral feature data includes dental arch curvature data, and the original oral data includes at least one of maxillary upward view image data and mandibular downward view image data; the "analyzing the distribution and occupancy of the target oral tissue in the inner cavity space dimension according to the original oral data to obtain at least one set of oral feature data" specifically includes: traversing all pixel parameters in the original oral data, determining all tooth positions located on the first maxillary surface, and taking the midpoint of the gingival margin corresponding to the tooth position as the starting feature point of the tooth position; wherein the first maxillary surface is at least one of the maxilla or the mandible; taking the starting feature point as the starting point, traversing the pixel parameters in the original oral data in the direction away from the tooth position crown, determining the low gray value point located at the bottom of the vestibule groove, and obtaining all groove bottom pixel points corresponding to all tooth positions; fitting the vestibule groove bottom distribution curve according to the groove bottom pixel points, and calculating the curvature of the vestibule groove bottom distribution curve to obtain the dental arch curvature data.

[0028] As a further improvement of an embodiment of the present invention, the target oral tissue includes a tooth root protrusion, the oral feature data includes dental arch curvature data, and the original oral data includes at least one of maxillary upward view image data and mandibular downward view image data; the "analyzing the distribution and occupancy of the target oral tissue in the inner cavity space dimension according to the original oral data to obtain at least one set of oral feature data" specifically includes: traversing all pixel parameters in the original oral data, determining all tooth positions located on the first maxillary surface, and taking the midpoint of the gingival margin corresponding to the tooth position as the starting feature point of the tooth position; wherein the first maxillary surface is at least one of the maxillary or mandibular; taking the starting feature point as the starting point, traversing the pixel parameters in the original oral data in the direction away from the tooth position crown, determining the low gray value points located on the tooth root protrusion, and obtaining all reference feature points corresponding to all tooth positions; fitting the root protrusion distribution curve according to the reference feature points, and calculating the curvature of the root protrusion distribution curve to obtain the dental arch curvature data.

[0029] As a further improvement of an embodiment of the present invention, the target oral tissue includes lip frenulum, the oral feature data includes lip frenulum width data, and the original oral data includes frontal image data; the "analyzing the distribution and occupancy of the target oral tissue in the inner cavity space dimension according to the original oral data to obtain at least one set of oral feature data" specifically includes: traversing all pixel parameters in the frontal image data, determining the left central incisor position, the right central incisor position and the tooth centerline located on the first maxillary surface, determining the left boundary line according to the left central incisor position, and determining the right boundary line according to the right central incisor position; wherein the first maxillary surface is at least one of the maxilla or the mandible; respectively traversing the low gray value points in the first frenulum area between the tooth centerline and the left boundary line, and the low gray value points in the second frenulum area between the tooth centerline and the right boundary line, to obtain the first frenulum coordinate set and the second frenulum coordinate set correspondingly; calculating the lip frenulum width data according to the first frenulum coordinate set and the second frenulum coordinate set.

[0030] As a further improvement of one embodiment of the present invention, the left boundary line is parallel to the tooth midline, and the midpoint of the gingival margin of the left central incisor falls on the left boundary line, and the right boundary line is parallel to the tooth midline, and the midpoint of the gingival margin of the right central incisor falls on the right boundary line.

[0031] As a further improvement of an embodiment of the present invention, the "calculating the labial frenulum width data according to the first frenulum coordinate set and the second frenulum coordinate set" specifically includes: fitting the first frenulum distribution curve and the second frenulum distribution curve according to the first frenulum coordinate set and the second frenulum coordinate set, respectively, and calculating the distance between the first frenulum distribution curve and the second frenulum distribution curve in the first direction to obtain several groups of frenulum width values; traversing to obtain a group of frenulum width values ​​with the largest value among the several groups of frenulum width values, extracting and using them as the labial frenulum width data; wherein, the first direction is the width extension direction of the central incisor.

[0032] As a further improvement of an embodiment of the present invention, the intraoral tissue includes the maxillofacial region, the oral feature data includes maxillofacial protrusion amplitude data, and the original oral data includes at least one of left-view image data and right-view image data; the "analyzing the distribution and occupancy of the target intraoral tissue in the inner cavity space dimension according to the original data to obtain at least one set of oral feature data" specifically includes: traversing all pixel parameters in the original oral data, determining the first incisor located in the maxilla and the second incisor located in the mandible, and fitting the maxillofacial protrusion curve formed by the first incisor and the second incisor according to the low gray value boundary points of the first incisor and the second incisor; calculating the curvature of the maxillofacial protrusion curve to obtain the maxillofacial protrusion amplitude data.

[0033] As a further improvement of an embodiment of the present invention, the "determine according to the target device type and traverse in a preset target device information library according to the oral feature data to determine the oral device information that is closest to the oral feature data in the spatial dimension" specifically includes: according to a preset weighting rule, set weights for different types of data in the oral feature data, and calculate the weighted feature data; according to the target device type, determine and traverse upward in the spatial dimension layer in a preset target device information library based on the weighted feature data to determine the oral device information that is closest to the oral feature data in the spatial dimension; wherein the oral feature data includes vestibule groove height data and dental arch curvature data, and the weighting rule sets the weight of the vestibule groove height data to be greater than the weight of the dental arch curvature data.

[0034] As a further improvement of an embodiment of the present invention, the oral feature data also includes maxillofacial protrusion amplitude data, and the weighting rule sets the weight of the dental arch curvature data to be greater than the weight of the maxillofacial protrusion amplitude data.

[0035] As a further improvement of an embodiment of the present invention, the oral feature data includes at least one of dental arch width data, vestibule height data, lip frenulum width data, maxillofacial protrusion amplitude data and dental arch curvature data; the "determine according to the target device type and traverse in a preset target device information library according to the oral feature data to determine the oral device information closest to the oral feature data in the spatial dimension" specifically includes: according to the target device type, determine and traverse in a preset device information library all device information whose corresponding indicators are greater than the dental arch width data and / or the vestibule height data and / or the lip frenulum width data and / or the maxillofacial protrusion amplitude data, and / or traverse all device information whose corresponding indicators are less than the dental arch curvature data, and determine the oral device information closest to the corresponding oral feature data in the spatial dimension.

[0036] As a further improvement of an embodiment of the present invention, the "traversing all the instrument information whose numerical values ​​of corresponding indicators are greater than the dental arch width data and / or the vestibule groove height data and / or the lip frenulum width data and / or the maxillofacial protrusion amplitude data, and determining the oral instrument information that is closest to the corresponding oral feature data in the spatial dimension" specifically includes: using the rounding-up method to traverse all the instrument feature data whose numerical values ​​of corresponding indicators are greater than the dental arch width data and / or the vestibule groove height data and / or the lip frenulum width data and / or the maxillofacial protrusion amplitude data; determining the instrument feature data that is closest to the corresponding oral feature data in numerical value, and determining the oral instrument information according to the instrument feature data; the "traversing all the instrument information whose numerical values ​​of corresponding indicators are less than the dental arch curvature data, and determining the oral instrument information that is closest to the corresponding oral feature data in the spatial dimension" specifically includes: using the rounding-down method to traverse all the instrument feature data whose numerical values ​​of corresponding indicators are greater than the dental arch curvature data; determining the instrument feature data that is closest to the corresponding oral feature data in numerical value, and determining the oral instrument information according to the instrument feature data.

[0037] As a further improvement of an embodiment of the present invention, the oral appliance information includes at least one of orofacial muscle trainer information, mouth breathing corrector information and invisible appliance information.

[0038] As a further improvement of an embodiment of the present invention, the "in a preset target instrument information library, traversing according to the oral feature data to determine the oral instrument information that is closest to the oral feature data in the spatial dimension" specifically includes: receiving and determining the oral instrument information based on target personal information, at least one of clinical diagnosis information, and the oral feature data; wherein, the target personal information includes at least one of age and gender, and the clinical diagnosis information includes a mark for insufficient training of the first orofacial muscle group.

[0039] To achieve one of the above-mentioned purposes of the invention, an embodiment of the present invention provides a method for generating oral instrument information, comprising: obtaining at least one set of original oral data pointing to at least a target oral tissue; analyzing the distribution and occupancy of the target oral tissue in the inner cavity space dimension based on the original oral data to obtain at least one set of oral feature data; in a preset multiple set of instrument information libraries, traversing respectively according to the oral feature data to determine multiple sets of oral instrument information that are closest to the oral feature data in the spatial dimension; wherein the multiple sets of instrument information libraries store oral instrument information corresponding to multiple types of oral instruments.

[0040] As a further improvement of an embodiment of the present invention, the oral feature data includes at least one of dental arch width data, vestibule groove height data, lip frenulum width data, maxillofacial protrusion amplitude data and dental arch curvature data; the "in a preset multiple set of instrument information library, traverse respectively according to the oral feature data to determine multiple sets of oral instrument information closest to the oral feature data in the spatial dimension" specifically includes: in the preset multiple sets of instrument information library, traverse all instrument information whose corresponding indicators are greater than the dental arch width data and / or the vestibule groove height data and / or the lip frenulum width data and / or the maxillofacial protrusion amplitude data, and / or traverse all instrument information whose corresponding indicators are less than the dental arch curvature data, and determine the multiple sets of oral instrument information that are closest to the corresponding oral feature data in the spatial dimension and correspond to the multiple sets of instrument information library.

[0041] To achieve one of the above-mentioned purposes of the invention, one embodiment of the present invention provides an oral instrument information generation system, comprising a processor, a memory and a communication bus, wherein the processor and the memory communicate with each other via the communication bus; the memory is used to store application programs; and the processor is used to implement the steps of the oral instrument information generation method described in any one of the above-mentioned technical solutions when executing the application programs stored in the memory.

[0042] To achieve one of the above-mentioned objects of the invention, an embodiment of the present invention provides a storage medium having an application stored thereon, and when the application is executed, the steps of the method for generating oral appliance information described in any of the above-mentioned technical solutions are implemented.

[0043] To achieve one of the above-mentioned objects of the invention, an embodiment of the present invention provides an oral appliance configured to be constructed based on oral appliance information, wherein the oral appliance information is generated according to the oral appliance information generation method described in any of the above-mentioned technical solutions.

[0044] As a further improvement of one embodiment of the present invention, the oral appliance is used for training orofacial muscle function and / or for treating mouth breathing.

[0045] As a further improvement of an embodiment of the present invention, the oral appliance includes a left end and a right end, and the original oral data includes a corresponding left distal root ridge and a right distal root ridge respectively; the difference between the distance between the left end and the right end and the distance between the left distal root ridge and the right distal root ridge is greater than or equal to 3 mm.

[0046] To achieve one of the above-mentioned objects of the invention, an embodiment of the present invention provides an oral appliance molding method, comprising: executing the oral appliance information generation method described in any of the above-mentioned technical solutions to obtain oral appliance information; and generating an oral appliance according to the oral appliance information.

[0047] As a further improvement of an embodiment of the present invention, the "generating an oral appliance according to the oral appliance information" specifically includes: generating and outputting an oral appliance receipt according to the oral appliance information; receiving and generating the oral appliance according to the oral appliance receipt.

[0048] Compared with the prior art, the oral device information generation method provided by the present invention collects and specifically extracts various features inside the oral cavity, and first searches in a pre-established target device information database based on the obtained oral feature data, thereby determining the oral device information that meets the target device type and corresponds to the internal features of the oral cavity based on the matching of the oral feature data with the data in the target device information database; the entire process specifically generates corresponding oral device information based on the target device type and oral feature data, which can not only match the most appropriate oral device information according to the actual situation of the patient's oral tissue, avoid errors and cost increases caused by manual intervention, and realize full process automation, but also can select or selectively obtain necessary original feature data according to the requirements of the target device type, thereby completing the conversion and feature extraction steps in a targeted manner, thereby simplifying the operation logic, improving the operation speed, and quickly generating the oral device information actually needed by medical workers and manufacturers. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] Figure 1 It is a schematic structural diagram of the oral three-dimensional model when the oral appliance is not installed in one embodiment of the present invention.

[0050] Figure 2 It is a schematic diagram of the structure of the three-dimensional model of the oral cavity when the oral appliance is installed in one embodiment of the present invention.

[0051] Figure 3 It is a structural schematic diagram of an oral appliance information generating system in one embodiment of the present invention.

[0052] Figure 4It is a schematic diagram of the steps of a method for generating oral appliance information in one embodiment of the present invention.

[0053] Figure 5 It is a schematic diagram of the steps of a first embodiment of a method for generating oral appliance information in one embodiment of the present invention.

[0054] Figure 6 It is a schematic diagram of some steps of a specific example of a first embodiment of a method for generating oral appliance information in one embodiment of the present invention.

[0055] Figure 7 It is a schematic diagram of the steps of a second embodiment of a method for generating oral appliance information in one embodiment of the present invention.

[0056] Figure 8 It is a schematic diagram of the display state of original oral data when the second embodiment of the oral appliance information generation method is implemented in one embodiment of the present invention.

[0057] Fig. 9 It is a schematic diagram of some steps of a first specific example of a second embodiment of a method for generating oral appliance information in one embodiment of the present invention.

[0058] Fig.10 It is a partial step diagram of a second specific example of a second embodiment of a method for generating oral appliance information in one embodiment of the present invention.

[0059] Fig.11 It is a schematic diagram of the display state of original oral data when implementing the second specific example of the second embodiment of the method for generating oral appliance information in one embodiment of the present invention.

[0060] Fig.12 It is a schematic diagram of the steps of a third embodiment of a method for generating oral appliance information in one embodiment of the present invention.

[0061] Fig.13 It is a schematic diagram of the display state of original oral data when the third embodiment of the oral appliance information generation method is implemented in one embodiment of the present invention.

[0062] Fig.14 It is a partial step diagram of a specific example of the third embodiment of the method for generating oral appliance information in one embodiment of the present invention.

[0063] Fig.15 It is a schematic diagram of the display state of original oral data when a specific example of the third embodiment of the method for generating oral appliance information is implemented in one embodiment of the present invention.

[0064] Fig.16 It is a schematic diagram of the display state of original oral data when another specific example of the third embodiment of the method for generating oral appliance information is implemented in one embodiment of the present invention.

[0065] Fig.17 It is a schematic diagram of the steps of a fourth embodiment of a method for generating oral appliance information in one embodiment of the present invention.

[0066] Fig.18 It is a schematic diagram of the display state of original oral data when the fourth embodiment of the oral appliance information generation method is implemented in one embodiment of the present invention.

[0067] Fig.19 It is a schematic diagram of the steps of a fifth embodiment of a method for generating oral appliance information in one embodiment of the present invention.

[0068] Fig. 20 It is a schematic diagram of the steps of a sixth embodiment of a method for generating oral appliance information in one embodiment of the present invention.

[0069] Fig.21 It is a schematic diagram of the display status of original oral data when the sixth embodiment of the oral appliance information generation method is implemented in one embodiment of the present invention.

[0070] Fig. 22 It is a schematic diagram of the steps of the seventh embodiment of the method for generating oral appliance information in one embodiment of the present invention.

[0071] Fig.23 It is a schematic diagram of the display status of original oral data when the seventh embodiment of the oral appliance information generation method is implemented in one embodiment of the present invention.

[0072] Fig.24 It is a schematic diagram of the steps of an eighth embodiment of a method for generating oral appliance information in one embodiment of the present invention.

[0073] Fig.25 It is a schematic diagram of the steps of a method for generating oral appliance information in another embodiment of the present invention.

[0074] Fig.26 Schematic diagram of the steps of a method for forming an oral appliance in one embodiment of the present invention. DETAILED DESCRIPTION

[0075] The present invention will be described in detail below in conjunction with the specific embodiments shown in the accompanying drawings. However, these embodiments do not limit the present invention, and any structural, methodological, or functional changes made by a person skilled in the art based on these embodiments are all within the scope of protection of the present invention.

[0076] It should be noted that the term "comprises" or any other variation thereof is intended to cover non-exclusive inclusion, so that a process, method, article or device that includes a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In addition, the terms "first", "second", "third", "fourth", "fifth", "sixth", "seventh", "eighth", etc. are used for descriptive purposes only and are not to be understood as indicating or implying relative importance.

[0077] The main idea of ​​the present invention is to determine the oral instrument information that best fits the patient's intraoral tissue based on the characteristics of the patient's intraoral tissue, complete the calculation and transformation of data content such as the concrete characteristics of the intraoral tissue to abstract instrument information, and finally achieve the purpose of facilitating medical workers or any technical personnel in this field to match the oral instruments and their information corresponding to different patients. Any description of "intraoral tissue" described below in the present invention can be interpreted not only as the tissue inside the patient's mouth in actual clinical trials, but also as the corresponding intraoral tissue in the physical model, virtual model or model data. For the latter, it can also be further set as a model or data constructed in scenarios such as scientific research and experiments. This point will not be repeated below.

[0078] The following will further describe various embodiments, technical principles and corresponding technical effects of the present invention in conjunction with the accompanying drawings. In one embodiment of the present invention, an oral device is provided, Figure 1 The installation environment of the oral device is shown, which can be the actual inside of the human oral cavity, or a simulated oral entity model or an oral three-dimensional model. Figure 1 The structure shown takes the oral three-dimensional model 100 as an example. The left figure shows the rendered three-dimensional structure, and the right figure shows the contour structure corresponding to at least part of the structure of the oral three-dimensional model 100.

[0079] In a specific example of the present invention, the oral cavity three-dimensional model 100 may include teeth 11, labial and buccal mucosa 12, vestibule groove 13, root ridge 14 and labial frenulum 15. The vestibule groove 13 is also called labial and buccal gingival groove, which can be interpreted as the upper and lower boundaries of the oral cavity. The vestibule groove 13 is in the shape of an iron hoof as a whole, and is a groove-shaped tissue structure formed by the labial and buccal mucosa 12 migrating to the alveolar mucosa. Specifically, the vestibule groove 13 includes an upper vestibule groove 131 and a lower vestibule groove 132. The upper and lower defined here are defined based on the human head being in an upright state and the teeth in the oral three-dimensional model 100 being arranged in a conventional order, that is, according to the FDI (Fédération Dentaire Internationale, World Dental Federation) tooth position representation method, tooth No. 11 is located at the upper left of tooth No. 31, and tooth No. 41 is located at the lower left of tooth No. 21. Based on this, the vestibule groove 13 that is located away from teeth 41 and 31 relative to teeth 11 and 21 is the upper vestibule groove 131, and the vestibule groove 13 that is located away from teeth 11 and 21 relative to teeth 41 and 31 is the lower vestibule groove 132. Of course, when observing the oral three-dimensional model 100 from different perspectives, or setting the oral three-dimensional model 100 to different positions and postures, the definitions of the upper orientation, the lower orientation, and the upper vestibule groove 131 and the lower vestibule groove 132 can be adjusted accordingly. This is understood by those skilled in the art and will not be elaborated here.

[0080] like Figure 1 and Figure 2 As shown, the oral appliance 200 provided by the present invention can be a physical oral appliance, or a corresponding three-dimensional model or physical model. When the oral appliance 200 is matched or installed with the oral three-dimensional model 100 or the corresponding actual oral environment of the human body, it can fit the oral tissue such as at least one of the above-mentioned teeth 11, lip and cheek mucosa 12, vestibule groove 13, root ridge 14 and lip frenulum 15 as much as possible, and improve the comfort or matching degree under the premise of realizing the function of the oral appliance 200 itself.

[0081] Specifically, for different types of oral appliances 200, there may be tendency differences in the requirements for fitting the above-mentioned oral tissues. For example, in the application scenario where the oral appliance 200 is a dentofacial deformity appliance or retainer, the oral appliance 200 provided by the present invention is configured to fit the surface of the tooth 11, and is preferably configured to not contact the root ridge 14; for example, in the application scenario where the oral appliance 200 is configured to be used for training orofacial muscle function (also known as orofacial myofunctional therapy, OMT, Orofacial Myofunctional Therapy; or MRC Myofunctional Correction, Myofunctional Research Center, Maiou Myofunctional Research Center) and / or for treating mouth breathing, the oral appliance 200 provided by the present invention is configured to fit at least part of the vestibule groove 13 and / or at least part of the root ridge 14, thereby hindering the activity of the orofacial muscles, achieving the effect of training and forming a barrier, and not excessively squeezing the corresponding oral tissues, thereby improving the matching degree or comfort.

[0082] Specifically, no matter which application scenario the oral appliance 200 belongs to, a certain clearance distance can be formed between the oral appliance 200 and the tooth root ridge 14, so as to prevent excessive squeezing of the gums, resulting in damage to the oral model or reduced wearing comfort. In other words, the size design of at least one dimension of the oral appliance 200 should be of a higher order of magnitude than that of the oral three-dimensional model 100. Preferably, the oral appliance 200 may include a right end 21 and a left end 22, and the oral three-dimensional model 100 or the corresponding original oral data includes a right distal tooth root ridge 141 corresponding to the right end 21, and a left distal tooth root ridge 142 corresponding to the left end 22. The right end 21 can be defined as the end of the right distal root ridge 141 on the oral appliance 200 away from the soft palate, and the distance of the right end 21 away from the right distal root ridge 141 relative to the soft palate can be defined as the "certain clearance distance"; the left end 22 can be defined as the end of the left distal root ridge 142 on the oral appliance 200 away from the soft palate, and the distance of the left end 22 away from the left distal root ridge 142 relative to the soft palate can be defined as the "certain clearance distance". In an embodiment where the oral appliance 200 is configured for training orofacial muscle function and / or for treating mouth breathing, the right end 21 and the left end 22 can specifically be the end on the cheek screen away from the lip stop, or the end on the cheek screen away from the breathing hole.

[0083] The left distal root ridge 142 and the right distal root ridge 141 are the root ridges at the farthest tooth position relative to the tooth midline in terms of orientation. For adults, they usually refer to the root ridges of the maxillary second molars or the root ridges of the mandibular second molars. For children, they usually refer to the root ridges of the maxillary second deciduous molars or the root ridges of the mandibular second deciduous molars. The root ridge 14 at any of the above tooth positions can be interpreted as the intraoral tissue that wraps around the tooth root and protrudes away from the soft palate relative to the labial surface of the crown, and can specifically be the gingival portion located outside the root canal and the alveolar bone portion wrapped by the gingival portion.

[0084] The "certain clearance distance" is freely selected according to the specific type or functional role of the oral appliance 200. For example, when the oral appliance 200 is configured as a malocclusion appliance or retainer, the distance between the right end 21 and the left end 22 can be less than or equal to the distance between the right distal root ridge 141 and the left distal root ridge 142, thereby constraining the teeth in the corresponding position to cause them to produce corresponding displacement or remain in their original positions. For another example, when the oral appliance 200 is configured to be used for training orofacial muscle function and / or for treating mouth breathing, or is configured as other devices for forming a barrier in the mouth, the distance between the right end 21 and the left end 22 may be greater than the distance between the right distal root ridge 141 and the left distal root ridge 142, and preferably, the difference between the spacing between the right end 21 and the left end 22 and the spacing between the right root ridge 141 and the left distal root ridge 142 is greater than or equal to 3 mm, so as not to excessively interfere with soft tissues such as the gums at the root ridge 142, thereby affecting the wearing experience or causing wear of the oral model.

[0085] Further, when the oral appliance 200 is installed on or matched with the oral three-dimensional model 100 or the actual oral environment of the human body, the upper end portion close to the maxillary side can be fitted with the upper vestibule groove 131, and the lower end portion close to the mandibular side can be fitted with the lower vestibule groove 132, that is, the distance between the upper end portion and the lower end portion of the oral appliance 200 can be equal to the distance between the upper vestibule groove 131 and the lower vestibule groove 132. At the same time, considering that when the corresponding oral three-dimensional model 100 is extracted from the actual oral environment of the human body, the distance between the upper vestibule groove 131 and the lower vestibule groove 132 may be greater than the distance between the two vestibule grooves when the human body is in a normal living state due to stretching, the above-mentioned "equal to" relationship can also be "slightly less than". Of course, in order to improve the training effect of the orofacial muscles and / or the therapeutic effect of mouth breathing, of course, the above-mentioned "equal to" relationship can also be "slightly greater than". Preferably, the cross-sectional shape and the extended distribution curve of the upper end of the oral appliance 200 can also fit the distribution curve and tissue morphology of the upper vestibule groove 131, and the cross-sectional shape and the extended distribution curve of the lower end of the oral appliance 200 can also fit the distribution curve and tissue morphology of the lower vestibule groove 132, thereby, the oral appliance 200 as a whole is also configured in an iron shoe shape.

[0086] Under the iron-shoe-shaped overall configuration, in order to avoid the lip frenulum 15 in the mouth and prevent the oral appliance 200 from exerting pressure on it, the middle of the upper end and the middle of the lower end of the oral appliance 200 may be provided with avoidance portions recessed toward the geometric center of the oral appliance 200. At the same time, considering that the shape of the lip frenulum 15 may be different in different oral models and actual human oral environments, the width of the avoidance portion extending along the length extension direction of the oral appliance 200 should be at least greater than or equal to the width of the lip frenulum 15 on the three-dimensional oral model 100 to prevent unnecessary limitation of the soft tissue of the lip frenulum 15 and cause pain to the wearer.

[0087] The above-mentioned feature description of the oral appliance 200, on the one hand, can be used as a limitation on the morphological features of the oral appliance 200 itself, so as to achieve the corresponding technical effects mentioned above; on the other hand, in one embodiment, the oral appliance 200 is configured to be constructed based on oral appliance information, and the oral appliance information is generated according to a method for generating oral appliance information. Therefore, the above-mentioned description of the oral appliance 200 can be interpreted as the beneficial effects of the oral appliance information or the method for generating oral appliance information. In other words, when executing the steps of the method for generating oral appliance information provided by the present invention, a kind of oral appliance information can be generated so that the corresponding oral appliance has any of the above-mentioned features and technical solutions.

[0088] Before specifically introducing the oral appliance information method, the present invention provides a storage medium, which can be specifically a computer-readable storage medium. The storage medium can be set in a computer and store an application program. In this case, the storage medium can be any available medium that the computer can access data, or can be a storage device such as a server or data center that includes one or more available media integrated. The available medium can be a magnetic medium such as a floppy disk, a hard disk, a magnetic tape, or an optical medium such as a DVD (Digital Video Disc), or a semiconductor medium such as an SSD (Solid State Disk). When the application program is executed, the steps of a method for generating oral appliance information are implemented to at least perform the following steps: obtaining the original oral data, analyzing the distribution and occupancy of the target oral tissue in the inner cavity space dimension, and determining the oral appliance information.

[0089] One embodiment of the present invention further provides a Figure 3 The oral appliance information generation system 300 shown includes a processor 31, a memory 33 and a communication bus 34. The processor 31 and the memory 33 communicate with each other through the communication bus 34. In order to further expand the functions of the oral appliance information generation system 300, the oral appliance information generation system 300 may also include a communication interface 32 for the oral appliance information generation system 300 to communicate with other systems or devices such as a manufacturer / warehouse management system or a manufacturing / warehouse management device. Similarly, the processor 31, the communication interface 32 and the memory 33 can communicate with each other through the communication bus 34.

[0090] Correspondingly, the memory 33 is used to store the application program; the processor 31 is used to execute the application program stored in the memory 33, and the application program may be an application program stored in the storage medium mentioned above, that is, the storage medium may be configured to be at least contained in the memory 33. Based on this, when executing the application program, the processor 31 may implement a method for generating oral appliance information, and specifically may include: obtaining original oral data, analyzing the distribution and occupancy of the target oral tissue in the inner cavity space dimension, and determining the oral appliance information.

[0091] Specifically, the communication bus 34 may be a PCI bus (Peripheral Component Interconnect) or an EISA bus (Extended Industry Standard Architecture). The communication bus 34 may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 3Only one thick line is used in the diagram, but this does not mean that there is only one bus or only one type of bus.

[0092] The memory 33 may include a RAM (Random Access Memory), or may include a NVM (Non-Volatile Memory), such as at least one disk storage. The processor 33 may be a general-purpose processor, including a CPU (Central Processing Unit), a NP (Network Processor), etc., or may be a DSP (Digital Signal Processing), an ASIC (Application Specific Integrated Circuit), an FPGA (Field-Programmable Gate Array), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components.

[0093] Of course, although the present invention provides an oral instrument information generating system 300, based on the description of the oral instrument information generating system 300, it can be seen that the various internal components thereof can also be integrated into one device after being matched with the embodiments. Based on this, the oral instrument information generating system 300 does not only refer to large systems such as field bus control systems, but can also refer to small circuit systems or control systems in oral instrument information generating devices.

[0094] like Figure 4 As shown, an embodiment of the present invention provides a method for generating oral appliance information, and the application or instruction corresponding to the method can be installed in the above storage medium and / or the above oral appliance information generating system 300 to achieve the technical effect of generating oral appliance information. The method for generating oral appliance information can specifically include the following steps.

[0095] Step 41, obtaining at least one set of original oral cavity information pointing to at least the target oral tissue.

[0096] The original oral data can be a type of image information, three-dimensional model information, or other data information. For the image information and three-dimensional model information, it can be specifically intraoral photo information (or intraoral image data, which can include one or more angles) or an oral three-dimensional model that characterizes all tissue structures inside the oral cavity, or it can be the part of the above intraoral photo information or oral three-dimensional model that has been identified and cropped. At this time, the original oral data "at least points to the target intraoral tissue" can be interpreted as the target intraoral tissue is included in the intraoral photo and the oral three-dimensional model.

[0097] The present invention does not limit the method of determining whether the original oral data points to the target oral tissue. Preferably, it can be configured as follows: determining the target oral tissue according to the target instrument type information; and then filtering the original oral data according to the target oral tissue.

[0098] For example, in the utility model patent No. CN213098442U, a spherical tongue guide is provided. In this case, the tongue guide or the invisible appliance with a tongue guide can be determined as the target device type information; in order to improve the wearing comfort, the volume of the patient's oral cavity is the factor that determines the size of the tongue guide. In this case, the dental arch, upper palate and tongue surface can be determined as the target oral tissue. Based on this, data such as images and three-dimensional models containing the above target oral tissues can be selected as the original oral data.

[0099] The target device type represents the type of oral device for which information is to be generated, and may be the above-mentioned tooth-jaw deformity appliance or retainer, or the above-mentioned orofacial muscle trainer for orofacial muscle function training or mouth breathing therapy, or any oral device such as a tongue guide that needs to be placed inside the oral cavity and fits the corresponding oral tissue to achieve the corresponding function. For example, the tooth-jaw deformity appliance may specifically be a bracketless invisible tooth-jaw deformity appliance, and the orofacial muscle trainer may specifically be an orofacial muscle barrier or a lip-cheek muscle barrier.

[0100] Taking the orofacial muscle trainer as an example, it is usually necessary to form contact with at least part of the orofacial muscles through other soft tissues to limit the regular activity of the muscles, so that the patient can have the effect of enhancing the function of the orofacial muscles after wearing the orofacial muscle trainer for a long time. Based on this, the orofacial muscle trainer is preferably fitted with the vestibule groove, and further preferably, it is arranged around the periphery of the dental arch and does not contact the crown, so as to improve the wearing comfort on the basis of achieving the functional effect. In summary, the "determine according to the target device type information..." can be specifically: determine the subsequent selected original oral data according to at least the function and structure of the oral device corresponding to the target device type information. For example, for the orofacial muscle trainer, its target oral tissue can include the vestibule groove, and its original oral data can be front view image data containing the vestibule groove, maxillary upward view image data or mandibular downward view image data, etc. For oral devices such as dental deformity correctors, its target oral tissue can be a crown or a whole dentition, and its original oral data can correspond to at least one set of image data containing a crown or a whole dentition.

[0101] Step 42, analyzing the distribution and occupancy of the target oral tissue in the inner cavity space dimension based on the original oral data, and obtaining at least one set of oral characteristic data.

[0102] The distribution and occupancy conditions may include the distribution of the target oral tissue in the inner cavity space dimension, and / or the occupancy of the target oral tissue in the inner cavity space dimension. For example, for a tooth crown, the distribution condition may be the morphological characteristics of the tooth crown protruding from the gums and distributed in the oral cavity, such as the extension direction of the incisal end, the shape of the occlusal surface, etc., and the occupancy condition may be the spatial characteristics of the tooth crown protruding from the gums and occupied in the oral cavity, such as the height value of the tooth crown protruding from the gums, the extension area of ​​the occlusal surface in the occlusal plane. For another example, for the vestibule groove, the distribution condition may be the morphological characteristics of the distribution curve formed by the vestibule groove in the maxilla or mandible, and the occupancy condition may be the distance from the bottom of the upper vestibule groove in the maxilla to the occlusal plane, the distance from the bottom of the lower vestibule groove in the mandible to the occlusal plane, or the distance from the bottom of the upper vestibule groove to the bottom of the lower vestibule groove.

[0103] Preferably, the indicators used for distribution occupancy analysis may be contents such as spatial point coordinates, pixel point coordinates, pixel parameters of pixels, etc. in the original oral data. The pixel parameters may be color parameters corresponding to a color encoding format. For example, when the color encoding format is RGB format, the pixel parameters may be the numerical value of any color channel of red, green, and blue or the sum thereof; when the color encoding format is YUV format, the pixel parameters may be any degree parameter of brightness and chroma or the sum thereof. The pixel parameters may also be a grayscale value, thereby reflecting the degree of concavity and convexity of the target oral tissue relative to the overall maxillofacial region. It can be understood that configuring the pixel parameters to include the grayscale value of the pixel does not necessarily mean that the original oral data is necessarily a grayscale image. Image data formed by RBG format encoding or YUV format encoding can also be extracted, mapped or transformed to obtain grayscale values ​​or numerical values ​​reflecting the size of grayscale values.

[0104] Step 43, according to the target device type, determine and traverse the preset target device information library according to the oral cavity feature data to determine the oral device information that is closest to the oral cavity feature data in the spatial dimension.

[0105] In this embodiment, the target device information library may correspond to the target device type. For example, when the target device type is the orofacial muscle barrier, the target device information library may be a database corresponding to the orofacial muscle barrier and storing the orofacial muscle barrier-related specification and size parameters. That is, the "determined and in the preset target device information library" may be interpreted as first determining a target device information library in one or more preset target device information libraries according to the target device type, and then performing feature traversal and extracting oral device information in the target device information library.

[0106] In addition to the data information corresponding to the size, volume, length and width values ​​of each dimension or model code of different oral-facial muscle barriers, the target device information library can also store corresponding wearing demonstration image data, usage instructions, production process information, manufacturer information, etc. In this way, after retrieving the oral device specification information that is closest in spatial dimension, that is, the most suitable for the target oral tissue, other relevant information retrieved can also be extracted together for subsequent sales, production, manufacturing and other processes.

[0107] Of course, this embodiment does not exclude partial omission of input data, such as the target device type and its information. In a simpler embodiment, the target device information library may only include the data information library of the orofacial muscle barrier, and the target oral tissue corresponding to the orofacial muscle barrier may also be preset. Therefore, it is only necessary to analyze the distribution and occupancy of the received or pre-stored original oral data to determine the corresponding oral device information.

[0108] In this way, automated analysis and feature extraction of the target oral tissue can be achieved, and oral appliance information can be extracted and screened based on the extracted features, ultimately determining the information corresponding to the oral appliance that can better fit the target oral tissue.

[0109] In a preferred embodiment based on the above implementation, the present invention optimizes step 41. Step 41 in the preferred embodiment specifically includes: obtaining and determining the target intraoral tissue and at least one target viewing angle direction corresponding to the target intraoral tissue according to the target instrument type information; adjusting the observation viewing angle to match the target viewing angle direction, and determining the original oral data containing the target intraoral tissue.

[0110] Specifically, the preferred embodiment can be divided into two aspects according to the source of the original oral data: first, if the source of the original oral data is two-dimensional intraoral image data or other image data, after obtaining the target viewing angle direction, a driving signal can be output to drive the corresponding imaging device to reacquire the two-dimensional image data according to the target viewing angle direction, thereby determining the original oral data containing the target intraoral tissue; after obtaining the target viewing angle direction, an indication signal can be output to prompt the medical worker to adjust the position of the imaging device until the imaging device can shoot along the target viewing angle direction, thereby determining the original oral data. Second, if the source of the original oral data is three-dimensional oral model data, the observation angle or shooting angle of the oral model can be adjusted to intercept the original oral data; and for more special oral physical models, such as silicone models or plaster models, the above-mentioned processing method for image data can be used, or the above-mentioned processing method for three-dimensional oral model data can be used after scanning it into an electronic model.

[0111] The target viewing angle direction indicates that imaging along the target viewing angle direction is sufficient to obtain original oral data pointing to at least the target oral tissue. The specific imaging method can be the above-mentioned actual shooting or interception, or other methods can be used. Of course, in addition to adjusting the viewing angle, other implementation methods such as adjusting the model posture state and adjusting the patient's posture can also be used.

[0112] Preferably, when the data source for determining the original oral data is an oral model or oral model data, Figure 5 As shown, the present invention further provides a first embodiment of a method for generating oral appliance information. In a specific example of the first embodiment, the method includes the following steps.

[0113] Step 41, obtaining at least one set of original oral cavity data pointing to at least the target oral tissue. Step 41 specifically includes:

[0114] Step 411, obtaining and establishing an oral cavity three-dimensional model based on an oral cavity silicone model and / or an oral cavity scanning model;

[0115] Step 412, determining original oral cavity data pointing to at least the target oral tissue based on the oral 3D model.

[0116] Step 42, analyzing the distribution and occupancy of the target oral tissue in the inner cavity space dimension based on the original oral data, and obtaining at least one set of oral characteristic data.

[0117] Step 43, according to the target device type, determine and traverse the preset target device information library according to the oral cavity feature data to determine the oral device information that is closest to the oral cavity feature data in the spatial dimension.

[0118] In this way, the oral solid model is converted into three-dimensional model data, which facilitates the adjustment of the model and the extraction of parameters, and avoids the inconvenience caused to medical workers and patients by repeated sampling. For the step 411, on the one hand, in addition to being an oral silicone model, an oral scanning model, or a combination of an oral scanning model and an oral silicone model, it can also be model data formed by composite recombination of intraoral images; on the other hand, the oral three-dimensional model can be obtained by CT (Computed Tomography) reconstruction and occlusion processing based on the oral silicone model, or it can be obtained by repairing and occlusion processing based on the oral scanning model. Preferably, the oral three-dimensional model can be a three-dimensional model that characterizes the maxillofacial structure characteristics of the patient in an occluded state.

[0119] Of course, when the data source for determining the original oral data is an intraoral photograph, an intraoral image or intraoral image data, such as Figure 5 As shown, the present invention provides another specific example of the first embodiment of the method for generating oral appliance information, which includes the following steps.

[0120] Step 41, obtaining at least one set of original oral cavity data pointing to at least the target oral tissue. Step 41 specifically includes:

[0121] Step 413, acquiring and determining original oral data pointing to at least the target intraoral tissue based on the intraoral image data.

[0122] Step 42, analyzing the distribution and occupancy of the target oral tissue in the inner cavity space dimension based on the original oral data, and obtaining at least one set of oral characteristic data.

[0123] Step 43, according to the target device type, determine and traverse the preset target device information library according to the oral cavity feature data to determine the oral device information that is closest to the oral cavity feature data in the spatial dimension.

[0124] In this way, when the data demand is not large, especially when the spatial position relationship is less concerned, the original oral data can be quickly determined based on the intraoral image data.

[0125] like Figure 5 and Figure 6 As shown, based on the first embodiment of the oral appliance information generating method described above, the present invention provides a further specific example of the first embodiment, which may include the following steps.

[0126] Step 41, obtaining at least one set of target original oral cavity data pointing to at least the target oral tissue. The step 41 specifically includes:

[0127] Step 411, obtaining and establishing an oral cavity three-dimensional model based on an oral cavity silicone model and / or an oral cavity scanning model;

[0128] Step 4120, traverse and determine whether the oral cavity three-dimensional model meets the preset integrity condition;

[0129] If not satisfied, jump to step 4122, obtain the intraoral image data corresponding to the oral three-dimensional model, refit according to the intraoral image data and the oral three-dimensional model, and determine the original oral data pointing to at least the target intraoral tissue based on the characteristics of the target intraoral tissue.

[0130] Step 42, analyzing the distribution and occupancy of the target oral tissue in the inner cavity space dimension based on the original oral data, and obtaining at least one set of oral characteristic data.

[0131] Step 43, according to the target device type, determine and traverse the preset target device information library according to the oral cavity feature data to determine the oral device information that is closest to the oral cavity feature data in the spatial dimension.

[0132] In this way, no matter what kind of oral three-dimensional model it is, missing information and feature completion can be performed on it, which facilitates subsequent feature extraction and matching of oral instrument information, prevents errors and improves the overall accuracy of the method.

[0133] The judgment process of whether the preset integrity condition is met may be to judge whether the overall content of the oral three-dimensional model is complete; it may be to judge whether the overall content corresponding to the target oral tissue in the oral three-dimensional model is complete, for example, when the oral appliance is an orofacial muscle barrier, it may be whether the overall morphological features of the vestibule groove in the oral three-dimensional model are complete. It may also be to judge whether the local content corresponding to the target oral tissue in the oral three-dimensional model is complete, for example, it may be to judge whether the morphological features of the vestibule groove near the maxillary central incisor and lateral incisor, and the morphological features of the vestibule groove near the mandibular central incisor and lateral incisor are complete. In this way, the required vestibule groove height data as oral feature data can also be obtained.

[0134] The corresponding intraoral image data and the oral three-dimensional model at least point to the same oral cavity, but the objects constructed therefrom may be different, for example, one of them may be constructed based on a plaster model or a silicone model, and the other may be constructed based on the actual oral environment of the patient. In addition, before refitting the target intraoral tissue features, the position of the area that does not meet the integrity condition may be specifically determined, and during the refitting process, only the area that does not meet the integrity condition may be fitted.

[0135] Corresponding to step 4122, after step 4120, the following steps may also be included:

[0136] If so, the process jumps to step 4121 to adjust the oral 3D model itself and determine the original oral data that at least points to the target oral tissue.

[0137] Of course, the above further specific example is based on the data source of the original oral data being an oral silicone model and / or an oral scan model. If the data source is an intraoral photo, an intraoral image or intraoral image data, the present invention provides another further specific example, including the following steps.

[0138] Step 41, obtaining at least one set of target original oral cavity data pointing to at least the target oral tissue. The step 41 or at least the step 413 specifically includes:

[0139] Step 4130', obtaining intraoral image data;

[0140] Step 4131', traverse and determine whether the intraoral image data meets the preset integrity condition;

[0141] If not satisfied, jump to step 4122', obtain the oral three-dimensional model corresponding to the intraoral image data, refit according to the intraoral image data and the oral three-dimensional model, and determine the original oral data pointing to at least the target intraoral tissue according to the characteristics of the target intraoral tissue.

[0142] Step 42, analyzing the distribution and occupancy of the target oral tissue in the inner cavity space dimension based on the original oral data, and obtaining at least one set of oral characteristic data.

[0143] Step 43, according to the target device type, determine and traverse the preset target device information library according to the oral cavity feature data to determine the oral device information that is closest to the oral cavity feature data in the spatial dimension.

[0144] Of course, the present invention can also be established in the case where the data source includes both the oral silicone model and / or the oral scan model and the intraoral image data. Based on this, the present invention provides another further specific example based on the above first embodiment, including the following steps.

[0145] Step 41, obtaining at least one set of target original oral cavity data pointing to at least the target oral tissue. The step 41 specifically includes:

[0146] Step 4141, obtaining intraoral image data and the corresponding oral three-dimensional model.

[0147] Step 4142, based on the intraoral image data and the oral three-dimensional model, fit and determine the original oral data pointing to at least the target intraoral tissue according to the characteristics of the target intraoral tissue.

[0148] Step 42, analyzing the distribution and occupancy of the target oral tissue in the inner cavity space dimension based on the original oral data, and obtaining at least one set of oral characteristic data.

[0149] Step 43, according to the target device type, determine and traverse the preset target device information library according to the oral cavity feature data to determine the oral device information that is closest to the oral cavity feature data in the spatial dimension.

[0150] The oral cavity three-dimensional model is established based on an oral silica gel model and / or an oral cavity scanning model. In this way, when the data source types are sufficient, the accuracy of the original oral cavity data can be improved by direct fitting.

[0151] For any of the above three data source configurations (① mainly based on oral 3D model, supplemented by intraoral image data; ② mainly based on intraoral image data, supplemented by oral 3D model; ③ fitting with both oral 3D model and intraoral image data), oral feature data can be extracted in subsequent steps through three technical means: pixel analysis, manual recognition cropping and feature analysis, and artificial intelligence recognition cropping and feature analysis.

[0152] (1) The technical means of pixel analysis is to process or collapse the processed two-dimensional image or three-dimensional model into two-dimensional image data, so as to completely rely on the pixel parameters therein to complete the feature extraction of the target oral tissue and the calculation of oral feature data. This part will be described in detail later.

[0153] (2) The technical means of combining manual recognition and cropping with feature analysis is to complete the feature extraction step in the two-dimensional image or three-dimensional model by manual recognition, marking and / or cropping, and then calculate the oral feature data by using the steps 42 and 43. For example, after manual recognition, marking and / or cropping, the coordinate positions of the feature points of the upper and lower vestibule groove bottoms in the two-dimensional image or three-dimensional model are determined, and used as the original oral data in turn; based on this, the coordinate difference of the upper and lower vestibule groove bottom points in different preset orientations is calculated, and the data that can reflect the distribution and occupancy of the vestibule groove bottom in the inner cavity space dimension is selected, so as to obtain the oral feature data; and the oral device information is determined accordingly.

[0154] (3) The technical means of combining artificial intelligence recognition cropping with feature analysis is to use a trained artificial intelligence model to replace the manual feature extraction step in the technical means (2), and then cooperate with steps 42 and 43 to calculate the oral feature data.

[0155] For the above-mentioned technical means (2) and (3), the present invention provides the following step 4151: receiving a standard three-dimensional model, and using edge feature data of the standard three-dimensional model as at least part of the original oral data. The standard three-dimensional model is configured to be formed after identification and cutting according to the target oral tissue. The step 4151 can be a part of the step 412, or a part of the step 4142.

[0156] Preferably, the standard three-dimensional model may only include the part of the target oral tissue, and this part may be extracted manually or by artificial intelligence. Preferably, it may be extracted from the oral three-dimensional model.

[0157] Therefore, in steps 42 and 43, the edge feature data of this part can be used to characterize the distribution and occupancy of the target oral tissue in the inner cavity space dimension (for example, the leftmost edge and the rightmost edge can characterize the distribution and occupancy of the corresponding target oral tissue in width), and then the oral feature data can be calculated.

[0158] When the data source is a two-dimensional image, under the above two technical means, the present invention can also provide the following step 4152: receiving a standard intraoral image, and using the edge feature data of the standard intraoral image as at least part of the original oral data. The standard intraoral image is configured to be formed after being identified and cropped according to the target intraoral tissue. The step 4151 can be a part of the step 413, or a part of the step 4142.

[0159] Preferably, the standard intraoral image may be a portion including only the target intraoral tissue, and this portion may be extracted manually or by artificial intelligence. Preferably, it is extracted from the intraoral image data.

[0160] For the above-mentioned technical means (3), before step 4151, step 41501 may be further included: inputting the oral cavity three-dimensional model into a preset region recognition neural network model to obtain the standard three-dimensional model. Thus, the part of the oral cavity three-dimensional model including the target oral tissue is extracted. Similarly, step 41501 and step 4151 may be simultaneously used as part of step 412 and step 4142.

[0161] In addition, before step 4152, step 41502 may be included: inputting the intraoral image data into a preset region recognition neural network model to obtain the standard intraoral image. Similarly, step 41502 and step 4152 may be simultaneously used as part of step 413 and step 4142.

[0162] Regarding the above-mentioned technical means (1), different target intraoral tissue configurations and original oral data configurations will be described in detail below. Of course, the above-mentioned three technical means are not mutually exclusive. Under the technical means (1), the image data under different viewing angles such as "front-view image data" provided below can be interpreted as a plane image of the oral three-dimensional model under the viewing direction, or as the data state presented by the oral three-dimensional model under the viewing direction. In other words, the expressions such as front-view image data below can correspond to the data in the oral three-dimensional model.

[0163] In a specific implementation scenario, or according to the type of the oral appliance, the target oral tissue includes the vestibule groove, the oral feature data includes the vestibule groove height data, and the original oral data includes the frontal image data. On this basis, Figure 4 and Figure 7 As shown, the present invention further provides a second embodiment of the method for generating oral appliance information based on the above-mentioned implementation mode, and the second embodiment specifically includes the following steps.

[0164] Step 41, obtaining at least one set of original oral cavity data pointing to at least the target oral tissue.

[0165] Step 42, based on the original oral data, analyze the distribution and occupancy of the target oral tissue in the inner cavity space dimension to obtain at least one set of oral characteristic data. The step 42 specifically includes:

[0166] Step 421A, traverse all pixel parameters in the front view image data, determine the first tooth position in the upper jaw and the second tooth position in the lower jaw, and use the coordinates of the midpoint of the gingival margin corresponding to the first tooth position as the first coordinate of the first tooth position, and use the coordinates of the midpoint of the gingival margin corresponding to the second tooth position as the second coordinate of the second tooth position;

[0167] Step 422A, starting from the first coordinate, traversing the pixel parameters in the front view image data along the second direction away from the crown of the first tooth position, determining the upper groove bottom pixel point located at the upper vestibule groove bottom, and correspondingly obtaining the first groove bottom coordinate;

[0168] Step 423A, starting from the second coordinate, traversing the pixel parameters in the front view image data along the second direction away from the crown of the second tooth position, determining the lower groove bottom pixel point located at the bottom of the lower vestibule groove, and correspondingly obtaining the second groove bottom coordinate;

[0169] Step 424A, calculating the vestibule sulcus height data in the oral cavity feature data according to the first sulcus bottom coordinates and the second sulcus bottom coordinates.

[0170] Step 43, according to the target device type, determine and traverse the preset target device information library according to the oral cavity feature data to determine the oral device information that is closest to the oral cavity feature data in the spatial dimension.

[0171] Among them, the second direction is the length extension direction of the tooth. In this way, the vestibule groove height data pointing to the vestibule groove can be selectively analyzed, and the appropriate oral device information can be matched accordingly. At this time, the overall method flow is: according to the target device type information with the vestibule groove height detection requirement, the target oral tissue is determined to be the vestibule groove, and the original oral data is determined to be the frontal image data; the vestibule groove height data characterizing the distribution and occupancy of the vestibule groove is analyzed on the original oral data as the oral feature data; according to the vestibule groove height data, the target device information library is traversed to obtain the most matching oral device information.

[0172] Preferably, the pixel parameter may be a grayscale value of a pixel, or other parameters such as coordinates of a space point, which will not be described in detail herein. The "all pixel parameters" may be interpreted as pixel parameters of all pixels, or may be interpreted as all pixel parameters of all pixels.

[0173] In this embodiment, the first coordinate and the second coordinate are determined by using the coordinates of the midpoint of the gingival margin at the corresponding tooth position as the coordinates of the characteristic position of the tooth position. On the one hand, it can avoid misjudging the low gray value point at the gingival margin as the corresponding groove bottom pixel point when the gray value traversal is performed with other points of the tooth position as the starting point; on the other hand, it can reduce the amount of data in the gray value traversal process and shorten the gray value traversal process. In addition, the criterion for judging whether the pixel point is located at the low end of the vestibule groove can be that the gray value of the pixel point falls within a preset low gray interval range, and the low gray interval range can be [0,50]. Of course, the starting point of the low gray interval range is usually set to 0, and the length of the interval can be adjusted according to actual needs. The shorter the interval length, the more significant the effect of shielding low gray value pixels located at the gingival margin, dental calculus or root protuberance. The method for determining tooth position may be to traverse the frontal image data (or in other embodiments, to traverse the original oral data), determine the pixel points whose grayscale values ​​fall into a preset high grayscale interval, and call the Graham scanning method based on the formed pixel point set to determine the convex hull range to reflect the crown of the corresponding tooth position, thereby determining the required first tooth position and second tooth position based on the relative position relationship of the crown.

[0174] In this embodiment, the basis for determining the upper groove bottom pixel point and the lower groove bottom pixel point is the grayscale value of the pixel in the frontal image data. Since the vestibule groove bottom is farther away from the crown cutting end than the crown or root, the pixel point located at the vestibule groove bottom in the frontal image data will have a lower grayscale value, and the upper groove bottom pixel point, the lower groove bottom pixel point, the first groove bottom coordinate and the second groove bottom coordinate can be determined accordingly. Of course, after performing point cloud or point set analysis on the oral three-dimensional model, the distance of different feature points on the oral three-dimensional model relative to the crown cutting end of the corresponding tooth position in the direction perpendicular to the maxillary surface (or, perpendicular to the plane where the labial surface of the central incisor is located) can also be determined to determine that the feature point farthest from the crown cutting end is the groove bottom pixel point corresponding to the tooth position, and thereby determine the corresponding groove bottom coordinate.

[0175] The first groove bottom coordinate and the second groove bottom coordinate can be relative to a plane rectangular coordinate system or a space rectangular coordinate system established on the three-dimensional model of the oral cavity, wherein the establishment of the plane rectangular coordinate system should at least be able to reflect the relative position relationship between the tooth position and the groove bottom. When the tooth position corresponding to the second direction is the central incisor position, it can also be approximately regarded as the extension direction of the tooth midline. Since the first groove bottom coordinate and the second groove bottom coordinate are respectively located in the maxilla and mandible of the three-dimensional model of the oral cavity, at least one set of vestibule groove height data can be obtained for subsequent traversal matching. For example, if Figure 8 As shown, the second direction is D2, and the corresponding vestibular sulcus height data ΔH can be obtained through the above steps. It can be understood that Figure 8 The left picture in the figure is a schematic diagram of the front view image of the oral 3D model. Figure 8 The right picture in the figure is an engineering drawing or line drawing formed based on the front view image.

[0176] In a preferred embodiment, the first tooth position may represent the position of the central incisor, and the second tooth position may represent the position of the lateral incisor. Based on this, the step 424A may specifically include the steps of calculating the distance between the first groove bottom coordinate and the second groove bottom coordinate in the extension direction of the tooth midline to obtain the vestibule groove height data.

[0177] Using this preferred embodiment, only the features at two tooth positions can be analyzed to estimate more accurate vestibule groove height data. Since the first tooth position points to the maxilla, the upper groove bottom pixel point corresponding to the maxillary central incisor position can be used to point to the highest point of the upper vestibule groove relative to the occlusal plane, and since the second tooth position points to the mandible, the lower groove bottom pixel point corresponding to the mandibular lateral incisor position can be used to point to the lowest point of the lower vestibule groove relative to the occlusal plane. In this way, the vestibule groove height data calculated according to this preferred embodiment can characterize the maximum width of the area enclosed by the upper vestibule groove and the lower vestibule groove as a whole, that is, the maximum width on the oral appliance can be determined based on this.

[0178] In this preferred embodiment, Figure 8 As shown, the first coordinate point is c1, the second coordinate point is c2, and the first groove bottom coordinate point and the second groove bottom coordinate point determined along the second direction D2 are d1 and d2, respectively. Based on this, the vestibular groove height data ΔH can be calculated according to the distance between the two in the extension direction of the tooth midline, in other words, according to the length of the projection of the line connecting the two in the extension direction of the tooth midline.

[0179] like Figure 4 , Figure 7 and Fig. 9 As shown, based on the second embodiment of the oral appliance information generation method described above, the present invention provides a first specific example of the second embodiment. The other steps in the first specific example are the same as those in the second embodiment provided above. The specific features, explanations and corresponding technical effects in the steps can refer to the description above and will not be repeated here. However, in particular, the first specific example provides a detailed implementation of step 424A, that is, in the first specific example, step 424A can specifically include the following steps.

[0180] Step 51A, traverse all teeth located in the upper jaw in the frontal image data, calculate the corresponding groove bottom coordinates respectively, and obtain an upper groove bottom coordinate set including the first groove bottom coordinate.

[0181] Step 52A, traverse all the teeth located in the mandible in the frontal image data, calculate the corresponding groove bottom coordinates respectively, and obtain a lower groove bottom coordinate set including the second groove bottom coordinates.

[0182] Step 53A, calculating the vestibular sulcus height data according to the upper sulcus bottom coordinate set and the lower sulcus bottom coordinate set.

[0183] In this way, the amount of data for calculation is increased, the calculation accuracy can be further improved, and the vestibular sulcus height data that can characterize the overall width of the area enclosed by the superior vestibule sulcus and the inferior vestibule sulcus can be obtained.

[0184] Among them, the specific calculation method of the vestibular groove height data in step 53A can be to fit distribution curves according to the upper groove bottom coordinate set and the lower groove bottom coordinate set respectively, and calculate the distance between the two distribution curves, so as to obtain multiple sets of vestibular groove height data; or it can be iteratively and sequentially select a first groove bottom coordinate in the upper groove bottom coordinate set and a second groove bottom coordinate in the lower groove bottom coordinate set, the two of which form a groove bottom height data pair, and then calculate the distance between the two groove bottom coordinates in the second direction or the extension direction of the tooth midline, to obtain multiple sets of vestibular groove height data. After obtaining the multiple sets of vestibular groove height data, it can also be further traversed and compared to screen the vestibular groove height data with the largest value as the vestibular groove height data finally output.

[0185] Preferably, in the first specific example of the second embodiment provided by the present invention, the step 53A may further specifically include the following detailed steps.

[0186] Step 531A, according to the upper groove bottom coordinate set and the lower groove bottom coordinate set, respectively fit the upper groove bottom distribution curve and the lower groove bottom distribution curve, and calculate the distance between the upper groove bottom distribution curve and the lower groove bottom distribution curve in the extension direction of the tooth centerline to obtain several groups of groove bottom spacing values.

[0187] Step 532A, traverse to obtain a group of groove bottom distance values ​​with the largest value among a plurality of groups of groove bottom distance values, extract and use it as the vestibular groove height data.

[0188] In this specific example, it is preferred to calculate the vestibular sulcus height data by fitting the groove bottom distribution curve. On the one hand, this technical solution has a large amount of data, which can improve the accuracy of the final result and thus improve the comfort of the user when wearing it. On the other hand, the fitting curve can avoid the problem of missing transition sections caused by discrete coordinate points, resulting in the final output vestibular sulcus height data being less than the actual height value. That is, by using the fitting curve solution, more coordinate points can be approximately inserted between discrete coordinate points to further improve the overall calculation accuracy.

[0189] Combination Figure 8 As shown, the upper groove bottom distribution curve Lu can be determined according to the upper groove bottom coordinate set, and the lower groove bottom distribution curve Ld can be determined according to the lower groove bottom coordinate set, and the spacing between the two distribution curves at different positions can be calculated. The retrieval process can be specifically to calculate the distance between the point pairs with the same position on the two distribution curves relative to the extension direction of the central incisor width (that is, the first direction D1) as the groove bottom spacing value, so as to finally determine that the groove bottom spacing value with the largest value is the vestibule groove height data ΔH. For example, the two "dots" corresponding to the vestibule groove height data ΔH in the figure are one of the "point pairs".

[0190] like Figure 4 , Figure 7 and Fig.10As shown, based on the second embodiment of the oral instrument information generation method described above, the present invention provides a second specific example of the second embodiment. The second specific example specifically provides a detailed implementation of the step 422A and the step 423A. Specifically, step 4221A and step 4222A are provided for step 422A, and step 4231A and step 4232A are provided for step 423A. In addition, the other steps in the second specific example can use the description of the features, explanations and technical effects in the previous text. In particular, step 422A to which step 4221A and step 4222A belong, step 423A to which step 4231A and step 4232A belong, and step 42 to which the above steps belong together, etc., will not be repeated below. Specifically, the second specific example may include the following steps.

[0191] Step 41, obtaining at least one set of original oral cavity data pointing to at least the target oral tissue.

[0192] Step 42, based on the original oral data, analyze the distribution and occupancy of the target oral tissue in the inner cavity space dimension to obtain at least one set of oral characteristic data. The step 42 specifically includes:

[0193] Step 421A, traverse all pixel parameters in the frontal image data, determine the first tooth position located in the upper jaw and the second tooth position located in the lower jaw respectively, and use the coordinates of the midpoint of the gingival margin corresponding to the first tooth position as the first coordinates of the first tooth position, and use the coordinates of the midpoint of the gingival margin corresponding to the second tooth position as the second coordinates of the second tooth position.

[0194] Step 4221A, starting from the first coordinate, traverse the pixel parameters in the front view image data along the second direction away from the crown of the first tooth position to obtain a first reference point representing the root ridge of the first tooth position and the first reference coordinate corresponding thereto.

[0195] Step 4222A, according to the first reference coordinates and the preset groove bottom prediction window, determine the upper groove bottom pixel point located at the upper vestibule groove bottom, and obtain the corresponding first groove bottom coordinates.

[0196] Step 4231A, starting from the second coordinate, traverse the pixel parameters in the front view image data along the second direction away from the crown of the second tooth position to obtain a second reference point representing the root ridge of the second tooth position and the second reference coordinate corresponding thereto.

[0197] Step 4232A, according to the second reference coordinates and the groove bottom prediction window, determine the lower groove bottom pixel point located at the bottom of the lower vestibule groove, and obtain the corresponding second groove bottom coordinates.

[0198] Step 424A, calculating the vestibule sulcus height data in the oral cavity feature data according to the first sulcus bottom coordinates and the second sulcus bottom coordinates.

[0199] Step 43, according to the target device type, determine and traverse the preset target device information library according to the oral cavity feature data to determine the oral device information that is closest to the oral cavity feature data in the spatial dimension.

[0200] In the second specific example of the second embodiment, the process of determining the first groove bottom coordinate and the second groove bottom coordinate according to the first coordinate and the second coordinate is divided into two steps, that is, first determine the position of the root ridge of the corresponding tooth position according to the midpoint of the gingival margin or other position feature points of the tooth position, and then determine the groove bottom position according to the position of the root ridge, so that the low gray value point representing the root ridge first retrieved according to the midpoint of the gingival margin can be used as a reference point to prevent the error caused by the retrieval of the groove bottom pixel point being overly dependent on the low gray interval range. At this time, the low gray interval range used to traverse and retrieve the low gray value points at the root ridge can have a larger interval length.

[0201] Combination Fig.11 As shown, the length extension direction of the groove bottom prediction window is the second direction D2, the first direction D1 is the width extension direction of the central incisor, the first coordinate point is c1, the second coordinate point is c2, the first reference coordinate point is p1, the second reference coordinate point is p2, the first groove bottom coordinate point is d1, the second groove bottom coordinate point is d2, and the length of the groove bottom prediction window is Δw.

[0202] In a preferred embodiment, the length Δw of the groove bottom prediction window is one of 1 mm to 2 mm. The selection of the groove bottom prediction window length Δw can be determined according to the position of the tooth position on the jaw surface. Preferably, the length of the groove bottom prediction window corresponding to the tooth position in the maxilla can be set to be smaller, and the length of the groove bottom prediction window corresponding to the tooth position in the mandible can be set to be larger, so as to conform to the structure of general oral tissues. The selection of the groove bottom prediction window length Δw can also be determined according to the overall size of the oral cavity and / or the development of oral tissues.

[0203] Of course, the second specific example does not mean that all solutions for determining the first groove bottom coordinates and the second groove bottom coordinates in the second embodiment need to first determine the first reference coordinates and the second reference coordinates. As mentioned above, the length of the low grayscale interval range can also be set shorter, or other implementations can be used to directly determine the low grayscale value pixel points located at the bottom of the vestibular groove, which should be understood by those skilled in the art.

[0204] In a specific implementation scenario, or according to the type of the oral appliance, the oral feature data includes dental arch width data, and the original oral data includes at least one of front view image data, upper jaw upward view image data, and lower jaw downward view image data. On this basis, Figure 4 and Fig.12 As shown, the present invention further provides a third embodiment of the method for generating oral appliance information based on the above-mentioned implementation mode, and the third embodiment specifically includes the following steps.

[0205] Step 41, obtaining at least one set of original oral cavity data pointing to at least the target oral tissue.

[0206] Step 42, based on the original oral data, analyze the distribution and occupancy of the target oral tissue in the inner cavity space dimension to obtain at least one set of oral characteristic data. The step 42 specifically includes:

[0207] Step 421B, traverse all pixel parameters in the original oral data, determine the third tooth position and the fourth tooth position located on the first maxillary surface, and use the coordinates of the midpoint of the gingival margin corresponding to the third tooth position as the third coordinate of the third tooth position, and use the coordinates of the midpoint of the gingival margin corresponding to the fourth tooth position as the fourth coordinate of the fourth tooth position.

[0208] Step 422B, starting from the third coordinate, traverse the pixel parameters in the original oral data in a direction away from the crown of the third tooth position to obtain a third reference point representing the root ridge of the third tooth position and the third reference coordinate corresponding thereto.

[0209] Step 423B, starting from the fourth coordinate, traverse the pixel parameters in the original oral data in a direction away from the crown of the fourth tooth position to obtain a fourth reference point representing the root ridge of the fourth tooth position and the fourth reference coordinate corresponding thereto.

[0210] Step 424B, calculating the dental arch width data in the oral feature data according to the third reference coordinate and the fourth reference coordinate.

[0211] Step 43, according to the target device type, determine and traverse the preset target device information library according to the oral cavity feature data to determine the oral device information that is closest to the oral cavity feature data in the spatial dimension.

[0212] Among them, the first maxillary surface is at least one of the maxilla or the mandible. In this way, the dental arch width data pointing to a certain intraoral tissue can be selectively analyzed, and the appropriate oral appliance information can be matched accordingly. Among them, the intraoral tissue used to calculate the dental arch width data can be the root protuberance, and the vestibule groove, which is more important, can also be used as an alternative to the intraoral tissue for calculating the dental arch width data. At this time, the overall method flow is: according to the target appliance type information with the need for dental arch width detection, the target intraoral tissue is determined to be the vestibule groove or the root protuberance, and the original oral data is determined to be the front view image data, the maxillary upward view image data or the mandibular downward view image data; the dental arch width data characterizing the distribution and occupancy of the vestibule groove or the distribution and occupancy of the root protuberance is analyzed on the original oral data as the oral feature data; according to the dental arch width data, the target appliance information library is traversed to obtain the most matching oral appliance information.

[0213] The method of determining the third coordinate and the fourth coordinate in this embodiment is similar to the first coordinate and the second coordinate, and can also be the coordinates of the midpoint of the gingival margin at the corresponding tooth position as the coordinates that characterize the characteristic position of the tooth position. In addition, the method of determining the third tooth position and the fourth tooth position, and the criterion for determining whether the pixel point is located at the root protuberance, that is, the method of obtaining the third reference coordinate and the fourth reference coordinate, can also be similar to the technical solution provided in the previous text to obtain the position of the first tooth position, the position of the second tooth position, the first reference coordinate and the second reference coordinate, and will not be repeated here.

[0214] However, it should be noted that, in this embodiment, unlike the embodiment provided above, the traversal direction of the third reference coordinate and the fourth reference coordinate corresponding to the traversal of the third coordinate or the fourth coordinate is not limited to the length extension direction of the tooth or the tooth centerline extension direction. The reason is that: on the one hand, the dental arch width data cannot usually be obtained in the area where the incisor position is located, while in the premolar or molar area, the line connecting the root ridge and the midpoint of the gingival margin of the corresponding tooth position may have an angle with the tooth centerline extension direction or the tooth length extension direction. At this time, in an environment with high precision requirements, when the original oral data is frontal image data, the left side of the maxillary face can be set to follow at least one of the directions between the tooth centerline extension direction and the direction rotated 15° clockwise from the tooth centerline extension direction, and the reference coordinates of the corresponding tooth position can be retrieved; the right side of the maxillary face can be set to follow at least one of the directions between the tooth centerline extension direction and the direction rotated 15° counterclockwise from the tooth centerline extension direction, and the reference coordinates of the corresponding tooth position can be retrieved. In an environment where there is no high-precision requirement, when the original oral data is frontal image data, it is of course also possible to determine the corresponding reference coordinates along the length extension direction of the tooth or the midline extension direction of the tooth, similar to the implementation method provided above, with the third coordinate or the fourth coordinate as the starting point.

[0215] On the other hand, when the original oral data is maxillary upward image data or mandibular top view image data, the length extension direction of the teeth is difficult to determine. At this time, in one embodiment, the extension direction of the line between the midpoint of the gingival margin and the center point of the occlusal surface can be used to traverse and retrieve in the direction away from the crown or the center point of the occlusal surface; in another embodiment, the midpoint of the line between the midpoint of the gingival margin of the left distal tooth position (usually the left second molar position) and the midpoint of the gingival margin of the right distal tooth position (usually the right second molar position) in the maxillary upward image or the mandibular top view image can be determined as the model reference center point, so that the extension direction of the line between the midpoint of the gingival margin and the model reference center point can be used to traverse and retrieve in the direction away from the crown or the model reference center point. It is worth noting that when the original oral data is maxillary upward image data or mandibular top view image data, the midpoint of the gingival margin of the tooth position refers to the midpoint of the outer gingival margin of the tooth position away from the soft palate (or the model reference center point).

[0216] In the third embodiment, Fig.13 As shown, the extension direction of the length of the central incisor or the extension direction of the tooth centerline is defined as the second direction D2, the extension direction of the width of the central incisor is defined as the first direction D1, the third coordinate point is c3, the fourth coordinate point is c4, the third reference coordinate point is p3, and the fourth reference coordinate point is p4. Based on this, the dental arch width data can be calculated according to the third reference coordinate point p3 and the fourth reference coordinate point p4. Specifically, the length or coordinate difference of the projection of the line connecting the third reference coordinate point p3 and the fourth reference coordinate point p4 in the first direction D1 (when at least one coordinate axis in the coordinate system pointed to by the third reference coordinate and the fourth reference coordinate extends along the first direction D1) can be directly used as the dental arch width data; the corresponding groove bottom pixel points can also be found with the third reference coordinate point p3 and the fourth reference coordinate point p4 as the starting point, and then the projection length value or coordinate difference of the line connecting the groove bottom pixel points in the first direction D1 can be included. Of course, under any of the above technical solutions, it can include two methods corresponding to the technical solution provided in the previous text, namely, finding a specified tooth position for direct calculation and traversing all tooth positions to filter the maximum value.

[0217] Understandably, Fig.13 The left picture in the figure is a schematic diagram of the front view image of another oral 3D model. Fig.13 The right picture in the figure is an engineering drawing or line drawing formed based on the front view image.

[0218] It is worth noting that, although the technical solution mainly provided by the third embodiment is to calculate the dental arch width data according to the position of the root ridge, the present invention does not exclude the use of the position of the vestibule groove to calculate the dental arch width data. Based on this, the step 422B also has a corresponding step 422B': starting from the third coordinate, traversing the grayscale values ​​of the pixels in the original oral data in the direction away from the third tooth crown, determining the third groove bottom pixel point corresponding to the third tooth position and located at the vestibule groove bottom, and correspondingly obtaining the third groove bottom coordinate; the step 423B also has a corresponding step 423B': starting from the fourth coordinate, traversing the grayscale values ​​of the pixels in the original oral data in the direction away from the fourth tooth crown, determining the fourth groove bottom pixel point corresponding to the fourth tooth position and located at the vestibule groove bottom, and correspondingly obtaining the fourth groove bottom coordinate; the step 424B also has a corresponding step 424B': calculating the dental arch width data in the oral feature data according to the third groove bottom coordinate and the fourth groove bottom coordinate.

[0219] like Figure 4 , Fig.12 and Fig.14 As shown, based on the third embodiment of the oral appliance information generation method described above, the present invention provides a specific example of the third embodiment. The other steps in the specific example are the same as those in the third embodiment provided above. The specific features, explanations and corresponding technical effects in the steps can refer to the description above and will not be repeated here. However, in particular, the specific example provides a detailed implementation for step 424B, that is, in this specific example, step 424A can specifically include the following steps.

[0220] Step 4241B, determining the third groove bottom coordinate of the groove bottom pixel point located at the bottom of the vestibular groove according to the third reference coordinate and the preset groove bottom prediction window.

[0221] Step 4242B, determining the fourth groove bottom coordinates of the groove bottom pixel point located at the bottom of the vestibular groove according to the fourth reference coordinates and the preset groove bottom prediction window.

[0222] Step 4243B, calculate the dental arch width data in the oral feature data according to the third groove bottom coordinate and the fourth groove bottom coordinate.

[0223] Wherein, the length of the groove bottom prediction window is 0mm-2mm.

[0224] In a specific example of the third implementation, step 424B is divided into two stages, that is, first determining the groove bottom coordinates according to the reference coordinates, and then finally determining the dental arch width data according to the groove bottom coordinates. Compared with the implementation method of directly determining the dental arch width data according to the reference coordinates, it can better fit the characteristics of the vestibular groove bottom, and when the oral appliance is an orofacial muscle barrier, it is more in line with the needs of production and manufacturing; compared with the implementation method of directly determining the groove bottom coordinates to determine the dental arch width data, it can prevent missed detection caused by too narrow a low grayscale range, and improve the accuracy of recognition.

[0225] Combination Fig.13 As shown, the third groove bottom coordinate point d3 corresponds to the third reference coordinate point p3 and the third coordinate point c3, and the fourth groove bottom coordinate point d4 corresponds to the fourth reference coordinate point p4 and the fourth coordinate point c4. Based on this, there are further implementation methods such as estimating the maximum width value according to the selected tooth position to characterize the dental arch width value, or traversing all tooth positions and selecting the maximum width value to characterize the dental arch width value.

[0226] In a preferred embodiment, the third tooth position represents the position of the molar on one side of the dentition, and the fourth tooth position represents the position of the molar on the other side of the dentition. Based on this, the step 4243B may specifically include the steps of calculating the distance between the third groove bottom coordinate and the fourth groove bottom coordinate in the first direction to obtain the dental arch width data. The first direction is the width extension direction of the central incisor.

[0227] By using this preferred embodiment, only the features at two tooth positions can be analyzed, so as to estimate and obtain relatively accurate vestibule groove height data. The third tooth position can further be the right distal tooth position, and usually specifically the right second molar, and the fourth tooth position can further be the left distal tooth position, and usually specifically the left second molar. The third tooth position and the fourth tooth position can be in the maxilla at the same time, so that the regional part in the front view image will be flatter, and the third tooth position and the fourth tooth position can also be in the mandible at the same time, so that the regional part in the front view image will be more complete. Of course, for the maxillary upward view image data, the third tooth position and the fourth tooth position must be in the maxilla at the same time, and for the mandibular downward view image data, the third tooth position and the fourth tooth position must be in the mandible at the same time.

[0228] Of course, in an implementation manner where the third groove bottom coordinate is directly determined according to the third coordinate and the fourth groove bottom coordinate is directly determined according to the fourth coordinate, the above-mentioned feature of limiting the third tooth position and the fourth tooth position as molars is also applicable, that is, step 4243B can also serve as one of the specific steps of step 424B'.

[0229] Of course, in another embodiment, all teeth located on the first maxillary surface may be traversed to calculate the dental arch width data. That is, step 4243B may also specifically include: Fig.14 The following steps are shown.

[0230] Step 51B, traverse all tooth positions located on the first maxillary surface in the original oral data, calculate the corresponding groove bottom coordinates respectively, and obtain a first groove bottom coordinate set including the third groove bottom coordinate and the fourth groove bottom coordinate.

[0231] Step 52B, calculating the maximum coordinate difference in the first direction according to the first groove bottom coordinate set, and obtaining the dental arch width data.

[0232] Wherein, the first direction is the extension direction of the width of the central incisor. In this way, the calculation accuracy can be further improved. As for the specific calculation method, it can be calculated by fitting the distribution curve, or it can be iteratively traversing all the groove bottom coordinates with the tooth midline as the symmetry axis, forming a number of "point pairs" and then calculating the coordinate differences respectively and finally screening them. It is worth noting that since step 4243B can be applied to step 424B', step 51B, step 52B and their specific steps as the specific steps of step 4243B can also be used as one of the specific steps of step 424B', and will not be repeated below.

[0233] Furthermore, in another embodiment of calculating the dental arch width data, the step 52B may further include a detailed implementation step, such as Fig.14 As shown, under this detailed implementation step, step 52B specifically includes the following steps.

[0234] Step 521B, fitting the first groove bottom distribution curve according to the first groove bottom coordinate set, and calculating the coordinate difference of the groove bottom coordinates symmetrical to each other with the tooth midline as the symmetry axis in the first groove bottom distribution curve in the first direction, to obtain several groups of dental arch width values.

[0235] Step 522B, traverse to obtain a group of dental arch width values ​​with the largest value among the multiple groups of dental arch width values, extract and use it as dental arch width data.

[0236] In this detailed implementation step, it is preferred to calculate the dental arch width data by fitting the groove bottom distribution curve, so as to enhance the matching degree between the corresponding oral appliance and the intraoral tissue, and to perform interpolation during the fitting process to prevent inaccurate calculation results caused by missing transition segment data.

[0237] Combination Fig.15As shown, the first groove bottom distribution curve L1 can be fitted according to the first groove bottom coordinate set. If it is determined that the first maxillary surface is mandibular, the first groove bottom distribution curve L1 corresponds to the lower groove bottom distribution curve Ld described above. At this time, the coordinate difference of the two groove bottom coordinates symmetrical with respect to the tooth midline axis in the first direction D1 can be calculated on the first groove bottom distribution curve L1 to characterize the dental arch width value, thereby screening out a group of dental arch width values ​​with the largest value (corresponding to the two "dots" in the figure) as the dental arch width data ΔW. In addition, if it is determined that the first maxillary surface is maxillary, the first groove bottom distribution curve L1 corresponds to the upper groove bottom distribution curve Lu described above. At this time, a group of groove bottom coordinate values ​​with the largest dental arch width value can be screened out, which are the third groove bottom coordinate point d3 and the fourth groove bottom coordinate point d4, respectively, so as to calculate the coordinate difference between the two in the first direction D1 to obtain the dental arch width data. Among them, the third groove bottom coordinate point d3 corresponds to the third coordinate point c3, and the fourth groove bottom coordinate point d4 corresponds to the fourth coordinate point c4.

[0238] Understandably, Fig.15 The left picture in the figure is a schematic diagram of the front view image of another oral 3D model. Fig.15 The right picture in the figure is an engineering drawing or line drawing formed based on the front view image.

[0239] For any of the above technical solutions, the original oral data can be Fig.16 The upper jaw upward view image data shown in the middle left figure can also be Fig.16 The mandibular top view image data is shown in the middle right figure. For the left figure, the first direction is D1, the second direction is D2, the third coordinate point is c3', which corresponds to the midpoint of the gingival margin of the third tooth position relative to the soft palate side, and the fourth coordinate point is c4', which corresponds to the midpoint of the gingival margin of the fourth tooth position relative to the soft palate side. Based on this, relative to the center point of the occlusal surface or the reference center point of the model, the corresponding third groove bottom coordinate point d3' and the fourth groove bottom coordinate point d4' can be obtained respectively. Further, any of the above technical solutions is applied to finally obtain the dental arch width data ΔW'. Specifically, for the implementation method of fitting the distribution curve, when observing the maxillary oral tissue at a looking up angle, the incisor may block the corresponding groove bottom pixel point. At this time, the corresponding groove bottom pixel point can be directly replaced by the midpoint of the labial edge of the crown and the midpoint of the gingival margin, so that the fitting for this part is obtained. Fig.16 The distribution curve of the labial edge of the upper incisor ΔLu in the figure is compared with the distribution curve of the upper groove bottom (corresponding to Fig.15 Lu in) and the other parts together constitute the first groove bottom distribution curve (corresponding to Fig.15L1 in ); it is also possible to skip the groove bottom pixel points that cannot be traversed to obtain the incisor part, and directly perform distribution curve fitting according to the groove bottom coordinate points where the groove bottom pixel points can be obtained on both sides, so as to form an upper distribution curve compensation segment ΔLu′ at the incisor part, and further match it with the upper groove bottom distribution curve (corresponding to Fig.15 Lu in) and the other parts together constitute the first groove bottom distribution curve (corresponding to Fig.15 in L1).

[0240] For the right figure, the first direction is D1, the second direction is D2, the third coordinate point is c3", and the fourth coordinate point is c4". Based on this, the corresponding third groove bottom coordinate point d3" and the fourth groove bottom coordinate point d4" can be obtained respectively. Further, any of the above technical solutions is applied to finally obtain the dental arch width data ΔW". For the processing of the incisor occlusion part, the lower incisor labial edge distribution curve ΔLd or the lower distribution curve compensation segment ΔLd' can also be fitted, so as to match the lower groove bottom distribution curve (corresponding to Fig.15 Ld in) and the other parts together constitute the first groove bottom distribution curve (corresponding to Fig.15 in L1).

[0241] In a specific implementation scenario, or according to the type of the oral appliance, the target oral tissue includes the vestibule groove, the oral feature data includes the dental arch curvature data, and the original oral data includes at least one of the upper jaw upward view image data and the lower jaw downward view image data. On this basis, Figure 4 and Fig.17 As shown, the present invention further provides a fourth embodiment of the method for generating oral appliance information based on the above-mentioned implementation mode, and the fourth embodiment specifically includes the following steps.

[0242] Step 41, obtaining at least one set of original oral cavity data pointing to at least the target oral tissue.

[0243] Step 42, based on the original oral data, analyze the distribution and occupancy of the target oral tissue in the inner cavity space dimension to obtain at least one set of oral characteristic data. The step 42 specifically includes:

[0244] Step 421C, traverse all pixel parameters in the original oral data, determine all tooth positions located on the first maxillary surface, and use the midpoint of the gingival margin corresponding to the tooth position as the starting feature point of the tooth position.

[0245] Step 422C, starting from the starting feature point, traverse the pixel parameters in the original oral data in the direction away from the tooth crown, determine the low gray value points located at the bottom of the vestibule groove, and obtain all groove bottom pixel points corresponding to all tooth positions.

[0246] Step 423C, fitting the vestibular sulcus bottom distribution curve according to the sulcus bottom pixel points, and calculating the curvature of the vestibular sulcus bottom distribution curve to obtain the dental arch curvature data.

[0247] Step 43, according to the target device type, determine and traverse the preset target device information library according to the oral cavity feature data to determine the oral device information that is closest to the oral cavity feature data in the spatial dimension.

[0248] Wherein, the first maxillary surface is at least one of the maxillary or mandibular. In this way, the dental arch curvature data pointing to a certain intraoral tissue can be selectively analyzed, and the appropriate oral appliance information can be matched accordingly. Wherein, the intraoral tissue used to calculate the dental arch curvature data can be the root ridge, but preferably the vestibule groove, which has a relatively uniform shape. At this time, the overall method flow is: according to the target appliance type information with the dental arch curvature detection requirement, determine that the target intraoral tissue is the vestibule groove, and determine that the original oral data is the maxillary upward view image data or the mandibular downward view image data; analyze the original oral data to obtain the dental arch curvature data that characterizes the distribution and occupancy of the vestibule groove as the oral feature data; traverse the target appliance information library according to the dental arch curvature data to obtain the most matching oral appliance information.

[0249] The technical solutions for determining the tooth position, determining the starting feature points corresponding to the tooth position, and determining the pixel points of the groove bottom in this embodiment can be similar to the technical solutions provided by any of the embodiments or examples in the foregoing text; the technical solutions for determining the direction away from the tooth crown of the tooth position in the process of determining the pixel points of the groove bottom, and fitting the distribution curve of the vestibule groove bottom in this embodiment can be similar to the corresponding technical solutions in the second embodiment based on this embodiment provided in the foregoing text. Different from the embodiment provided in the foregoing text, in this embodiment, it is necessary to traverse multiple tooth positions to fit the distribution curve of the vestibule groove bottom, and finally it is necessary to calculate the curvature according to the distribution curve to obtain the dental arch curvature data. The dental arch curvature data can be the curvature value, curvature, radius of curvature of the most approximate arc of the entire distribution curve of the vestibule groove bottom, or the distance from each point on the distribution curve to the reference center point of the model, or it can be the above parameters for the part of the distribution curve of the vestibule groove bottom, for example, considering that the central incisor part has the largest protrusion amplitude, considering that the second molar part has a greater impact on wearing comfort, so that only the distribution curve of the vestibule groove bottom corresponding to the central incisor position or the second molar position is collected and fitted to calculate the corresponding dental arch curvature data.

[0250] For the above technical solution, the original oral data can be as follows Fig.18 The upper jaw upward view image data shown in the middle left figure can also be Fig.18The mandibular top view image data is shown in the middle right figure. For the left figure, the first direction is D1, the second direction is D2, the starting feature point is c, and the groove bottom pixel point is d, so the upper groove bottom distribution curve Lu (which is the same as Fig.15 As for the pixel points at the bottom of the groove blocked by the incisor, it can also be solved by fitting the upper incisor labial edge distribution curve ΔLu or forming an upper distribution curve compensation segment ΔLu′, which will not be described here.

[0251] For the right figure, the first direction is D1, the second direction is D2, the starting feature point is c, and the groove bottom pixel point is d, so the lower groove bottom distribution curve Ld (which is the same as Fig.15 For the pixel points at the bottom of the groove blocked by the incisor, the problem can also be solved by fitting the labial edge distribution curve ΔLd of the lower incisor or forming a compensation segment ΔLd′ of the lower distribution curve, which will not be described in detail here.

[0252] In a specific implementation scenario, or according to the type of the oral appliance, the target oral tissue includes a root ridge, the oral feature data includes dental arch curvature data, and the original oral data includes at least one of maxillary upward image data and mandibular downward image data. On this basis, Figure 4 and Fig.19 As shown, the present invention further provides a fifth embodiment of the method for generating oral appliance information based on the above-mentioned implementation mode, and the fifth embodiment specifically includes the following steps.

[0253] Step 41, obtaining at least one set of original oral cavity data pointing to at least the target oral tissue.

[0254] Step 42, based on the original oral data, analyze the distribution and occupancy of the target oral tissue in the inner cavity space dimension to obtain at least one set of oral characteristic data. The step 42 specifically includes:

[0255] Step 421C, traverse all pixel parameters in the original oral data, determine all tooth positions located on the first maxillary surface, and use the midpoint of the gingival margin corresponding to the tooth position as the starting feature point of the tooth position.

[0256] Step 422C', starting from the initial feature point, traverse the pixel parameters in the original oral data in the direction away from the tooth crown, determine the low gray value points located at the root ridge, and obtain all reference feature points corresponding to all tooth positions.

[0257] Step 423C', fitting the root uplift distribution curve according to the reference feature points, and calculating the curvature of the root uplift distribution curve to obtain dental arch curvature data.

[0258] Step 43, according to the target device type, determine and traverse the preset target device information library according to the oral cavity feature data to determine the oral device information that is closest to the oral cavity feature data in the spatial dimension.

[0259] Wherein, the first maxillary surface is at least one of the maxillary or mandibular. In this way, the dental arch curvature data pointing to the root ridge can be selectively analyzed, and the appropriate oral appliance information can be matched accordingly. Wherein, curve fitting of the root ridge of the maxillary upward view image data or the mandibular downward view image can obtain a more suitable peripheral curve, which is convenient for manufacturing oral appliances with a higher degree of matching. At this time, the overall method flow is: according to the target appliance type information with the requirement of dental arch curvature detection, the target oral tissue is determined to be the root ridge, and the original oral data is determined to be the maxillary upward view image data or the mandibular downward view image data; the dental arch curvature data characterizing the distribution and occupancy of the vestibule groove is obtained by analyzing the original oral data as the oral feature data; according to the dental arch curvature data, the target appliance information library is traversed to obtain the most matching oral appliance information.

[0260] The technical solutions for determining the tooth position, determining the starting feature points corresponding to the tooth position, and determining the pixel points at the bottom of the groove in this embodiment may be similar to the technical solutions provided by any of the implementation methods or embodiments described above; the technical solutions for determining the direction of the tooth crown away from the tooth position in the process of determining the pixel points at the bottom of the groove, and fitting the distribution curve of the vestibule bottom of the groove in this embodiment may be similar to the corresponding technical solutions in the second embodiment based on this implementation provided above. The setting of the number of traversed tooth positions and the definition of the dental arch curvature data in this embodiment may be similar to the corresponding technical solutions in the fourth embodiment based on this implementation provided above. For the specific form of the fitted curve and the special case where the incisor blocks the pixel points at the bottom of the groove, the fourth embodiment may also be referred to, and will not be described here.

[0261] In a specific implementation scenario, or according to the type of the oral appliance, the target oral tissue includes the lip frenulum, the oral feature data includes the lip frenulum width data, and the original oral data includes the frontal image data. On this basis, Figure 4 and Fig. 20 As shown, the present invention further provides a sixth embodiment of the method for generating oral appliance information based on the above-mentioned implementation mode, and the sixth embodiment specifically includes the following steps.

[0262] Step 41, obtaining at least one set of original oral cavity data pointing to at least the target oral tissue.

[0263] Step 42, based on the original oral data, analyze the distribution and occupancy of the target oral tissue in the inner cavity space dimension to obtain at least one set of oral characteristic data. The step 42 specifically includes:

[0264] Step 421D, traverse all pixel parameters in the frontal image data, determine the left central incisor position, right central incisor position and dental midline located on the first maxillary surface, determine the left boundary line according to the left central incisor position, and determine the right boundary line according to the right central incisor position.

[0265] Step 422D, traverse the low gray value points in the first frenulum area between the tooth midline and the left boundary line, and the low gray value points in the second frenulum area between the tooth midline and the right boundary line, respectively, and obtain the first frenulum coordinate set and the second frenulum coordinate set accordingly.

[0266] Step 423D, calculate the lip frenulum width data based on the first frenulum coordinate set and the second frenulum coordinate set.

[0267] Wherein, the first maxillary surface is at least one of the maxillary or mandibular. In this way, the lip frenulum width data pointing to the lip frenulum can be selectively analyzed, and the appropriate oral device information can be matched accordingly. At this time, the overall method flow is: according to the target device type information with the lip frenulum width detection requirement, the target oral tissue is determined to be the lip frenulum, and the original oral data is determined to be the frontal image data; the lip frenulum width data characterizing the distribution and occupancy of the lip frenulum is analyzed on the original oral data as the oral feature data; according to the lip frenulum width data, the target device information library is traversed to obtain the most matching oral device information.

[0268] The method for determining the tooth position in this embodiment, especially determining the left central incisor position and the right central incisor position, can be similar to any of the technical solutions provided above, and will not be repeated here. However, this embodiment is different from the embodiment provided above, because this embodiment delineates the traversal range based on the left central incisor position and the right central incisor position, and searches for low gray value points between the delineated ranges. Therefore, the traversal direction may no longer be the second direction, the tooth midline extension direction, the tooth length extension direction, or the direction away from the crown, etc., but is preferably carried out along the first direction or the width extension direction of the central incisor. Of course, this embodiment does not exclude the technical solution of still traversing along different points on the gingival margin of the corresponding tooth position in the direction away from the crown. Furthermore, since the distance between the concave part of the labial frenulum and the cutting end of the crown of the central incisor in the direction perpendicular to the maxillary surface (or perpendicular to the plane where the labial surface of the central incisor is located) is less than or equal to the distance between the pixel point at the bottom of the groove and the cutting end of the crown of the corresponding tooth in the direction perpendicular to the maxillary surface (or perpendicular to the plane where the labial surface of the central incisor is located), the length of the low grayscale interval range for determining the labial frenulum can be set shorter, or the other implementations mentioned above can be used to directly determine the corresponding low grayscale value points.

[0269] In addition, the process of determining the left boundary line according to the left central incisor position can be specifically retrieved to obtain the midpoint of the gingival margin on the left central incisor position, and a straight line parallel to the tooth midline is drawn with the midpoint of the gingival margin to obtain the left boundary line; the process of determining the right boundary line according to the right central incisor position can be specifically retrieved to obtain the midpoint of the gingival margin on the right central incisor position, and a straight line parallel to the tooth midline is drawn with the midpoint of the gingival margin to obtain the right boundary line. In other words, the left boundary line is parallel to the tooth midline, and the midpoint of the gingival margin of the left central incisor position falls on the left boundary line, and the right boundary line is parallel to the tooth midline, and the midpoint of the gingival margin of the right central incisor position falls on the right boundary line. Of course, since the boundary line is located on the central incisor, the limitation that the boundary line is parallel to the tooth midline can also be replaced by expressing that the boundary line extends along a second direction, and the second direction is the length extension direction of the tooth.

[0270] Specifically, combined Fig.21 As shown, according to the FDI tooth position representation method, when the first maxillary surface is maxillary, the left central incisor position points to the position of tooth No. 21, that is, the maxillary left central incisor position 1121 in the figure, and the right central incisor position points to the position of tooth No. 11, that is, the maxillary right central incisor position 1111 in the figure; when the first maxillary surface is mandibular, the left central incisor position points to the position of tooth No. 31, that is, the mandibular left central incisor position 1131 in the figure, and the right central incisor position points to the position of tooth No. 41, that is, the mandibular right central incisor position 1141 in the figure.

[0271] Preferably, the area formed by the tooth centerline m0, the left boundary line b1, the gingival margin on the crown of the left central incisor between the tooth centerline and the left boundary line, and the edge portion on the oral model in the front view image between the tooth centerline and the left boundary line can be defined as the first frenulum area S1; the area formed by the tooth centerline m0, the right boundary line b2, the gingival margin on the crown of the right central incisor between the tooth centerline and the right boundary line, and the edge portion on the oral model in the front view image between the tooth centerline and the right boundary line can be defined as the second frenulum area S2.

[0272] In the sixth embodiment, when the first maxillary surface is the maxilla, the tooth midline is defined as m0, the left boundary line determined according to the maxillary left central incisor position 1121 is b1, and the right boundary line determined according to the maxillary right central incisor position 1111 is b2. After traversing the first frenulum area S1 and the second frenulum area S2 with low gray value points, at least the upper left frenulum coordinate point t2 and the upper right frenulum coordinate point t1 can be obtained. Then, a corresponding frenulum coordinate set is formed according to all frenulum coordinate points to calculate the lip frenulum width data. Correspondingly, when the first maxillary surface is the mandible, the lower left frenulum coordinate point t3 can be determined according to the mandibular left central incisor position 1131, and the lower right frenulum coordinate point t4 can be determined according to the mandibular right central incisor position 1141. Similarly, the lip frenulum width data corresponding to the mandibular lip frenulum can be calculated. It can be understood that Fig.21 The left picture in the figure is a schematic diagram of the front view image of another oral 3D model. Fig.21 The right picture in the figure is an engineering drawing or line drawing formed based on the front view image.

[0273] In a preferred embodiment, the calculation method of the lip frenulum width data in step 423D can be calculated by fitting a distribution curve. Based on this, step 423 can specifically include the following steps.

[0274] Step 4231D, fitting a first lacing distribution curve and a second lacing distribution curve according to the first lacing coordinate set and the second lacing coordinate set, respectively, and calculating the distance between the first lacing distribution curve and the second lacing distribution curve in the first direction to obtain a plurality of sets of lacing width values;

[0275] Step 4232D, traverse to obtain a group of frenulum width values ​​with the largest value among the several groups of frenulum width values, extract and use it as the lip frenulum width data.

[0276] Wherein, the first direction is the width extension direction of the central incisor.

[0277] Continue to combine Fig.21 As shown, when the first maxillary surface is the maxilla, the first frenulum distribution curve Lt1 can be fitted according to the first frenulum coordinate set composed of a plurality of upper left frenulum coordinate points t2, and the second frenulum distribution curve Lt2 can be fitted according to the second frenulum coordinate set composed of a plurality of upper right frenulum coordinate points t1. When the first maxillary surface is the mandible, the corresponding first frenulum distribution curve Lt1' can be fitted according to the first frenulum coordinate set composed of a plurality of lower left frenulum coordinate points t3, and the second frenulum distribution curve Lt2' can be fitted according to the second frenulum coordinate set composed of a plurality of lower right frenulum coordinate points t4.

[0278] For the frenulum width value with the largest value selected as the lip frenulum width data in step 4232D, any of the implementation methods described above can be used for screening and extraction. For example, the frenulum coordinate points with the same position in the extension direction of the tooth centerline can be extracted on the first frenulum distribution curve and the second frenulum distribution curve to form "point pairs", and then the distances of all "point pairs" along the first direction are calculated, so as to use the distance with the largest value as the lip frenulum width data. Of course, after replacing the implementation of other implementation methods such as line projection, coordinate difference, etc. provided above, more other implementation methods can be derived.

[0279] In a specific implementation scenario, or according to the type of the oral appliance, the target oral tissue includes the dental maxillofacial region, the oral feature data includes maxillofacial protrusion amplitude data, and the original oral data includes at least one of left-view image data and right-view image data. On this basis, Figure 4 and Fig. 22 As shown, the present invention further provides a seventh embodiment of the method for generating oral appliance information based on the above-mentioned implementation mode, and the seventh embodiment specifically includes the following steps.

[0280] Step 41, obtaining at least one set of original oral cavity data pointing to at least the target oral tissue.

[0281] Step 42, based on the original oral data, analyze the distribution and occupancy of the target oral tissue in the inner cavity space dimension to obtain at least one set of oral characteristic data. The step 42 specifically includes:

[0282] Step 421E, traverse all pixel parameters in the original oral data, determine the first incisor located in the maxilla and the second incisor located in the mandible, and fit the maxillofacial protrusion curve formed by the first incisor and the second incisor based on the low gray value boundary points of the first incisor and the second incisor.

[0283] Step 422E, calculate the curvature of the maxillofacial protrusion curve to obtain the maxillofacial protrusion amplitude data.

[0284] Step 43, according to the target device type, determine and traverse the preset target device information library according to the oral cavity feature data to determine the oral device information that is closest to the oral cavity feature data in the spatial dimension.

[0285] In this way, the maxillofacial protrusion amplitude data pointing to the maxillofacial area can be selectively analyzed, and the appropriate oral appliance information can be matched accordingly. At this point, the overall method flow is: according to the target appliance type information with the maxillofacial protrusion amplitude detection requirement, the target oral tissue is determined to be the maxillofacial area, and the original oral data is determined to be the left-view image data or the right-view image data; the maxillofacial protrusion amplitude data characterizing the distribution and occupancy of the maxillofacial area is analyzed on the original oral data as the oral feature data; according to the maxillofacial protrusion amplitude data, the target appliance information library is traversed to obtain the most matching oral appliance information.

[0286] The technical solution for determining the tooth position, determining the starting feature point corresponding to the tooth position, and determining the pixel point of the groove bottom in this embodiment can be similar to the technical solution provided in any of the above embodiments or examples. Different from the above embodiments, this embodiment does not use the tooth position feature position coordinates to find the position of other corresponding intraoral tissues, but directly uses the crown where the tooth position is located as the target to extract the boundary features. Fig.23 As for the left view image data in the middle left image, it records the structure of the left side of the dentition and other related intraoral tissues. Fig.23 As for the right-view image data in the middle right image, it records the structure of the right side of the dentition and other related intraoral tissues. Based on this, the low gray value point closest to the left side of the left-view image can be correspondingly extracted to represent the boundary point of the oral model in the left-view image data, thereby reflecting the protrusion of the left side of the maxillofacial face; and the low gray value point closest to the right side of the right-view image can be correspondingly extracted to represent the boundary point of the oral model in the right-view image data, thereby reflecting the protrusion of the right side of the maxillofacial face.

[0287] The first incisor can preferably be the maxillary central incisor, that is, the tooth pointed to by the seventh tooth position counting from the distal tooth position (usually the mandibular second molar), and the second tooth position can preferably be the mandibular central incisor, that is, the seventh tooth position counting from the distal tooth position (usually the mandibular second molar). Based on this, not only can the boundary point of the first incisor and the second incisor be determined by judging the grayscale value, but also the boundary point can be determined based on the convex hull range formed by the incisor crown. Of course, in special cases such as maxillofacial deformity or exposure of wisdom teeth (also known as third molars), the crown condition on the side of the maxillary surface closest to the lip can also be obtained by completely relying on the analysis of the grayscale value.

[0288] for Fig.23 For the middle left image, the first incisor can be the tooth closer to the left side of the image between the maxillary left central incisor position 1121 and the maxillary left incisor position 1122, and the second incisor can be the tooth closer to the left side of the image between the mandibular left central incisor position 1131 and the mandibular left incisor position 1132. On the first incisor and the second incisor, several boundary low gray value points e2 can be determined, so as to fit the maxillofacial protrusion curve Le2. Fig.23 For the middle right figure, the first incisor can be the tooth closer to the right side of the image among the maxillary right central incisor position 1111 and the maxillary right incisor position 1112, and the second incisor can be the tooth closer to the right side of the image among the mandibular right central incisor position 1141 and the mandibular right incisor position 1142. On the first incisor and the second incisor, several boundary low gray value points e1 can be determined, so as to fit the maxillofacial protrusion curve Le1. Among them, the maxillofacial protrusion curve Le1 or Le2 can be the curve that strictly fits the crown as shown in the figure, or it can be a curve of approximate arc generated by rough fitting.

[0289] The maxillofacial protrusion amplitude data may be the arc, curvature or curvature radius of the whole or part of the maxillofacial protrusion curve. In a special embodiment, it may be the distance value between the point closest to the boundary on the maxillofacial protrusion curve and the distal tooth position (for example, the center point of the occlusal surface of the maxillary second molar, the midpoint of the gingival margin or the corresponding upper sulcus bottom pixel point, or the center point of the occlusal surface of the mandibular second molar, the midpoint of the gingival margin or the corresponding lower sulcus bottom pixel point). The point closest to the boundary can be defined from the position level in the image as the low gray value point located closest to the left in the left-view image, and / or the low gray value point located closest to the right in the right-view image; from the coordinate level, it can be defined as the low gray value point with the smallest x coordinate value in the left-view image, and / or the low gray value point with the largest x coordinate value in the right-view image, when the origin of the coordinate system is located in the upper left corner of the image and the positive direction of the x-axis is to the right.

[0290] like Fig.24 As shown, the present invention further provides an eighth embodiment of a method for generating oral instrument information, and the eighth embodiment specifically includes the following steps.

[0291] Step 41, obtaining at least one set of original oral cavity data pointing to at least the target oral tissue.

[0292] Step 42, analyzing the distribution and occupancy of the target oral tissue in the inner cavity space dimension based on the original oral data, and obtaining at least one set of oral characteristic data.

[0293] Step 43, according to the target device type, determine and traverse the preset target device information library according to the oral feature data to determine the oral device information that is closest to the oral feature data in the spatial dimension. The step 43 specifically includes:

[0294] Step 431, according to a preset weighting rule, weights are set for different types of data in the oral characteristic data, and weighted characteristic data is calculated;

[0295] Step 432, according to the target device type, determine and traverse upward in the spatial dimension layer in a preset target device information library based on the weighted feature data to determine the oral device information that is closest to the oral feature data in the spatial dimension.

[0296] In this way, oral appliance information can be matched more focusedly according to the weighting rules. Corresponding to different target appliance types, the preset weighting rules may also be different. For example, for orthodontic appliances or retainers, maxillofacial protrusion amplitude data and other crown features are more important during preparation, and should be given greater weights; for example, for orofacial muscle barriers, vestibule sulcus height data, dental arch width data or dental arch curvature data are more important during preparation, and should be given greater weights.

[0297] Preferably, the oral characteristic data includes vestibule groove height data and dental arch curvature data, and the weighted rule sets the weight of the vestibule groove height data to be greater than the weight of the dental arch curvature data. For example, the weight of the vestibule groove height data can be set to 0.7, and the weight of the dental arch curvature data can be set to 0.3. In this way, it can be preferentially ensured that the oral appliance does not over-protrude toward one side of the vestibule groove. It should be noted here that both the dental arch curvature data and the dental arch width data are data reflecting the dimensions of the dentition in the occlusal plane, and therefore, the above-mentioned dental arch curvature data can also be replaced by dental arch width data.

[0298] Preferably, the oral feature data also includes maxillofacial protrusion amplitude data, and the weighted rule sets the weight of the dental arch curvature data to be greater than the weight of the maxillofacial protrusion amplitude data. In this way, while taking the maxillofacial protrusion amplitude into consideration, it will not excessively affect the matching of oral appliance information and blur the key points. It is understandable that the oral feature data may further include lip frenulum width data, and the weighted rule sets the weight of the maxillofacial protrusion amplitude data to be greater than the weight of the lip frenulum width data.

[0299] Based on any of the above-mentioned implementation modes, examples or specific examples, for the step 43 and its derivative steps, different specific implementation modes and combinations between specific implementation modes will be generated according to the different data requirements for constituting the oral appliance. For example, in an application scenario, the oral feature data includes at least one of dental arch width data, vestibule sulcus height data, lip frenulum width data, maxillofacial protrusion amplitude data and dental arch curvature data. On the one hand, the above-mentioned different oral feature data can be calculated according to any of the technical solutions provided above, that is, the different implementation modes and combinations thereof for step 43 correspond to the different implementation modes and combinations thereof for step 41 and step 42. On the other hand, for the above-mentioned different oral feature data, there are also differences in the comparison and determination of the spatial dimensions in step 43. Specifically, in a specific embodiment, the step 43 can specifically include the following detailed steps that are independent of each other or can be combined.

[0300] Step 43A, according to the target device type, determine and traverse all device information in the preset device information library whose corresponding index value is greater than the dental arch width data, and determine the oral device information closest to the corresponding oral feature data in the spatial dimension.

[0301] Step 43B, according to the target instrument type, determine and traverse all instrument information in the preset instrument information library whose corresponding index value is greater than the vestibular groove height data, and determine the oral instrument information closest to the corresponding oral feature data in the spatial dimension.

[0302] Step 43C, according to the target device type, determine and traverse all device information in the preset device information library whose corresponding indicator value is greater than the lip frenulum width data, and determine the oral device information that is closest to the corresponding oral feature data in the spatial dimension.

[0303] Step 43D, according to the target instrument type, determine and traverse all instrument information in the preset instrument information library whose corresponding indicator values ​​are greater than the maxillofacial protrusion amplitude data, and determine the oral instrument information that is closest to the corresponding oral feature data in the spatial dimension.

[0304] Step 43E, according to the target device type, determine and traverse all device information in the preset device information library whose corresponding index value is smaller than the dental arch curvature data, and determine the oral device information closest to the corresponding oral feature data in the spatial dimension.

[0305] In this way, the matched oral appliance information will not interfere with the crowns, root ridges or vestibule bottoms of the distal teeth at the level of dental arch width, and will be sufficient to achieve the aforementioned requirement of a spacing difference greater than or equal to 3mm; at the level of vestibule groove height, it can fully contact the vestibule groove to enhance the effect of orofacial muscle training; at the level of lip frenulum width, it can avoid compression of the lip frenulum; at the level of dental arch curvature, it can avoid excessive squeezing of the dentition and related soft tissues.

[0306] For the above-mentioned refinement steps or combinations of refinement steps, the same or different schemes may be applied to implement the traversal and screening process. For example, when it is necessary to traverse all the equipment information with larger values ​​of the corresponding indicators, the rounding up method may be used; when it is necessary to traverse all the equipment information with smaller values ​​of the corresponding indicators, the rounding down method may be used. Specifically, for the step 43A, the step 43B, the step 43C and the step 43D, the following further refinement steps may be included.

[0307] Step 430A, using the rounding up method to traverse all the device characteristic data whose corresponding index values ​​are greater than the dental arch width data.

[0308] Step 430B, using the rounding up method to traverse all the instrument feature data whose corresponding index values ​​are greater than the vestibular sulcus height data.

[0309] Step 430C, using the rounding up method to traverse all the device characteristic data whose corresponding index values ​​are greater than the lip frenulum width data.

[0310] Step 430D, using the rounding up method to traverse all the instrument feature data whose corresponding index values ​​are greater than the maxillofacial protrusion amplitude data.

[0311] Step 4301, determining the instrument feature data that is closest in value to the corresponding oral feature data, and determining the oral instrument information according to the instrument feature data.

[0312] As for step 43E, it may include the following further detailed steps.

[0313] Step 430E, using the rounding down method to traverse all the device characteristic data whose corresponding index values ​​are greater than the dental arch curvature data.

[0314] Step 4301, determining the instrument feature data that is closest in value to the corresponding oral feature data, and determining the oral instrument information according to the instrument feature data.

[0315] Adopting the rounding-up method or the rounding-down method can better adapt to the size and model of existing oral instruments, and also reduce the demand for the amount of data in the instrument information library. For the rounding-up method, for example, the instrument information library stores oral instrument information B for oral characteristic data A of 30mm and oral instrument information b for oral characteristic data A of 31mm. After calculation, the actual oral characteristic data A is 30.2mm. Then, the rounding-up method can be used to process the data of 30.2mm, so as to match it with the oral instrument information b with the oral characteristic data A of 31mm. Conversely, the rounding-down method can be used to process the data of 30.2mm, so as to match it with the oral instrument information B with the oral characteristic data A of 30mm.

[0316] It can be understood that the above-mentioned configuration of different rounding methods for different oral feature data is mainly aimed at improving wearing comfort or reducing wear on the model. Based on this, those skilled in the art can think of technical solutions using other rounding methods or traversal methods for other oral feature data, which can all be considered to be generated under the inspiration of the technical solution provided by the present invention.

[0317] Preferably, the oral appliance information includes at least one of orofacial muscle trainer information, mouth breathing corrector information and invisible appliance information. The invisible appliance may be an invisible appliance with tongue guide disclosed in utility model patent No. CN213098442U.

[0318] Preferably, the "traversing a preset target instrument information library according to the oral feature data to determine the oral instrument information closest to the oral feature data in the spatial dimension" may specifically include: receiving and determining the oral instrument information based on at least one of the target personal information, the clinical diagnosis information, and the oral feature data.

[0319] The target personal information includes at least one of age and gender, and the clinical diagnosis information includes a mark of insufficient training of the first orofacial muscle group.

[0320] For example, in one case, the target personal information and / or clinical diagnosis information can be used to perform local fine-tuning of the oral appliance information, in other words, to refine the local information in the oral appliance information. For example, when the clinical diagnosis information contains the "lip muscle training is insufficient" mark, based on this, the thickness of the oral appliance information pointing to the front teeth area can be increased based on the oral feature data, thereby increasing the appliance treatment effect.

[0321] In another case, the target personal information and / or clinical diagnosis information can be used to adjust the comfort. For example, when the target personal information includes age information of "age 5 years old", based on this, the area of ​​the outer contour area of ​​the device in the oral device information can be reduced based on the oral feature data to prevent the outer contour edge from interfering with the lip surface and affecting the wearing comfort. For another example, based on the age information of "age 5 years old", the material softness in the oral device information can be adjusted based on the oral feature data, and the oral device information containing material information with higher softness can be selected.

[0322] like Fig.25 As shown, another embodiment of the present invention provides a method for generating oral appliance information, and the application or instruction corresponding to the method can be installed in the above storage medium and / or the above oral appliance information generating system 300 to achieve the technical effect of generating oral appliance information. The method for generating oral appliance information can specifically include the following steps.

[0323] Step 61, obtaining at least one set of original oral data pointing to at least the target oral tissue.

[0324] Step 62, analyzing the distribution and occupancy of the target oral tissue in the inner cavity space dimension based on the original oral data, and obtaining at least one set of oral characteristic data.

[0325] Step 63 , traverse the preset multiple sets of instrument information databases respectively according to the oral cavity feature data to determine multiple sets of oral cavity instrument information that are closest to the oral cavity feature data in the spatial dimension.

[0326] The multiple sets of device information libraries store oral device information corresponding to multiple types of oral devices. In this way, it is possible to use the target intraoral tissue information as input, and search multiple device information libraries to obtain multiple oral device information that matches the oral feature data of the intraoral tissue information, thereby providing users or medical workers with more diverse choices.

[0327] For example, when the vestibule groove is input as the target intraoral tissue information, the vestibule groove height data can be extracted as oral feature data corresponding to the original oral data, so that the first oral appliance information and the second oral appliance information can be retrieved respectively in a first appliance information library such as pointing to the orofacial muscle barrier and a second appliance information library pointing to the dento-maxillary deformity appliance, so as to be output and provided for user selection.

[0328] For this implementation, the detailed technical solutions for step 61, step 62 and step 63 can respectively apply at least part of the technical solutions for step 41, step 42 and step 43 above, thereby correspondingly forming multiple embodiments, specific examples, detailed steps or preferred solutions of this implementation.

[0329] For example, Fig.25 As shown, the present invention further provides a first embodiment of the method for generating oral appliance information corresponding to this other embodiment. In this embodiment, the oral feature data includes at least one of dental arch width data, vestibule sulcus height data, lip frenulum width data, maxillofacial protrusion amplitude data and dental arch curvature data. Specifically, this embodiment specifically includes the following steps.

[0330] Step 61, obtaining at least one set of original oral data pointing to at least the target oral tissue.

[0331] Step 62, analyzing the distribution and occupancy of the target oral tissue in the inner cavity space dimension based on the original oral data, and obtaining at least one set of oral characteristic data.

[0332] Step 63, in the preset multiple sets of device information libraries, traverse them respectively according to the oral feature data to determine multiple sets of oral device information that are closest to the oral feature data in the spatial dimension. The step 63 specifically includes:

[0333] Step 630, in the preset multiple sets of instrument information libraries, traverse all instrument information whose corresponding index values ​​are greater than the dental arch width data and / or the vestibule groove height data and / or the lip frenulum width data and / or the maxillofacial protrusion amplitude data, and / or traverse all instrument information whose corresponding index values ​​are less than the dental arch curvature data, and determine the multiple sets of oral instrument information that are closest to the corresponding oral feature data in the spatial dimension and correspond to the multiple sets of instrument information libraries.

[0334] In this way, a refined step 63 is provided to correspond to different oral feature data and adopt different traversal methods to determine oral appliance information with better matching effect.

[0335] It should be noted that, regardless of the above steps 41 to 43 and their derivative steps, or the above steps 61 to 63 and their derivative steps, the present invention provides different levels of detailed implementation examples at five levels, namely, dental arch width data, vestibule sulcus height data, lip frenulum width data, maxillofacial protrusion amplitude data, and dental arch curvature data. The various implementation examples provided by the present invention are not necessarily independent of each other. Specifically, a single implementation example can draw on some of the contents of other implementation examples to improve the technical solution of the present implementation example. For example, for dental arch width data, the vestibule sulcus pixel points can also be directly traversed according to the midpoint of the gingival margin without going through the step of traversing the pixel points at the root protuberance. Multiple implementation examples can also be combined with each other to form a more complete and comprehensive implementation example. For example, at least the above five levels can be integrated into a complete implementation example, so as to obtain better oral appliance information by matching in five or more dimensions.

[0336] One embodiment of the present invention provides an oral appliance molding method, and the application or instruction corresponding to the method can be carried in the above-mentioned storage medium, or in other storage media independent of the above-mentioned storage medium, and the application or instruction corresponding to the method can also be integrated in the above-mentioned oral appliance information generation system, and of course can also be carried in a new oral appliance molding system to achieve the technical effect of oral appliance molding. Based on this, on the one hand, the present invention can provide or those skilled in the art can form a corresponding storage medium and an oral appliance molding system according to the oral appliance molding method provided by the present invention; on the other hand, the oral appliance molding method provided by the present invention can specifically include the steps of: executing an oral appliance information generation method to obtain oral appliance information; generating an oral appliance according to the oral appliance information.

[0337] It is worth noting that, although it is mentioned in the previous text in the description of the oral appliance that the oral appliance is constructed according to the oral appliance information generated by the oral appliance information generation method provided by the present invention, it can be understood that after the present invention proposes the oral appliance molding method, the oral appliance can of course also be constructed according to the oral appliance molding method.

[0338] Preferably, the "performing a method for generating oral appliance information to obtain oral appliance information" can be further implemented by using any method for generating oral appliance information provided by any technical solution described herein. Fig.26 As shown, the oral appliance molding method provided by the present invention may include the following steps.

[0339] Step 41, obtaining at least one set of original oral cavity data pointing to at least the target oral tissue.

[0340] Step 42, analyzing the distribution and occupancy of the target oral tissue in the inner cavity space dimension based on the original oral data, and obtaining at least one set of oral characteristic data.

[0341] Step 43, according to the target device type, determine and traverse the preset target device information library according to the oral cavity feature data to determine the oral device information that is closest to the oral cavity feature data in the spatial dimension.

[0342] Step 70: Generate an oral appliance according to the oral appliance information.

[0343] In this way, the oral appliance finally constructed has better fit and usability. On the one hand, the specific steps of steps 41 to 43 can be referred to the above description and will not be repeated here; on the other hand, the above steps 41 to 43 can of course be replaced by steps 61 to 63, so as to generate one or more oral appliances according to multiple sets of oral appliance information.

[0344] Continue as Fig.26 As shown, the present invention further provides an embodiment based on the oral appliance molding method provided in this embodiment. The other parts of this embodiment are the same as the embodiment provided above. The specific features, explanations and corresponding technical effects in the steps can refer to the description above and will not be repeated here. In particular, this embodiment provides a detailed implementation for step 70, which specifically includes the following steps.

[0345] Step 71, generating and outputting an oral device receipt according to the oral device information.

[0346] Step 72, receiving and generating oral appliances according to the oral appliance receipt.

[0347] Preferably, before the oral device is generated, the oral device receipt can also be sent to the medical system for confirmation by medical workers, and then sent to the manufacturer management system after confirmation for subsequent oral device generation steps.

[0348] In summary, the oral device information generation method provided by the present invention collects and specifically extracts various features inside the oral cavity, and first searches in a pre-established target device information library according to the obtained oral feature data, thereby determining the oral device information that meets the target device type and corresponds to the internal features of the oral cavity according to the matching of the oral feature data with the data in the target device information library; the entire process specifically generates corresponding oral device information according to the target device type and the oral feature data, which can not only match the most appropriate oral device information according to the actual situation of the patient's oral tissue, avoid errors and cost increases caused by manual intervention, and realize full process automation, but also can select or selectively obtain necessary original feature data according to the requirements of the target device type, thereby completing the conversion and feature extraction steps in a targeted manner, thereby simplifying the operation logic, improving the operation speed, and quickly generating the oral device information actually needed by medical workers and manufacturers.

[0349] It should be understood that although this specification is described according to implementation modes, not every implementation mode contains only one independent technical solution. This description of the specification is only for the sake of clarity. Those skilled in the art should regard the specification as a whole. The technical solutions in each implementation mode may also be appropriately combined to form other implementation modes that can be understood by those skilled in the art.

[0350] The series of detailed descriptions listed above are only specific descriptions of feasible implementation methods of the present invention. They are not intended to limit the scope of protection of the present invention. Any equivalent implementation methods or changes that do not deviate from the technical spirit of the present invention should be included in the scope of protection of the present invention.

Claims

1. A method for generating oral device information, It is characterized in that include: Acquire at least one set of original oral cavity data at least pointing to target intraoral tissue; Analyzing the distribution and occupancy of the target oral tissue in the inner cavity space dimension according to the original oral data to obtain at least one set of oral characteristic data; According to the target device type, determine and traverse a preset target device information library according to the oral feature data to determine the oral device information that is closest to the oral feature data in the spatial dimension; The target intraoral tissue is determined according to the target device type information; and the original oral data is screened according to the target intraoral tissue.

2. The method for generating oral appliance information according to claim 1, It is characterized in that The "obtaining at least one set of original oral data pointing to at least the target oral tissue" specifically includes: Obtain and establish an oral three-dimensional model based on an oral silicone model and / or an oral scan model; Determine original oral data pointing to at least the target oral tissue according to the oral three-dimensional model; or Original oral data pointing to at least the target intraoral tissue is acquired and determined based on the intraoral image data.

3. The method for generating oral appliance information according to claim 2, It is characterized in that The “determining, based on the oral three-dimensional model, original oral data pointing to at least the target oral tissue” specifically includes: Traversing and determining whether the oral three-dimensional model meets a preset integrity condition; If not, obtaining intraoral image data corresponding to the oral three-dimensional model, refitting according to the intraoral image data and the oral three-dimensional model and determining original oral data pointing to at least the target intraoral tissue according to the characteristics of the target intraoral tissue; The “determining original oral data pointing to at least the target intraoral tissue according to the intraoral image data” specifically includes: Traversing and determining whether the intraoral image data meets a preset integrity condition; If not satisfied, obtain an oral three-dimensional model corresponding to the intraoral image data, refit based on the intraoral image data and the oral three-dimensional model, and determine original oral data pointing to at least the target intraoral tissue based on the characteristics of the target intraoral tissue.

4. The method for generating oral appliance information according to claim 1, It is characterized in that The "obtaining at least one set of original oral data pointing to at least the target oral tissue" specifically includes: Acquire intraoral image data and a corresponding three-dimensional oral model; wherein the three-dimensional oral model is established based on an oral silicone model and / or an oral scan model; According to the intraoral image data and the oral three-dimensional model, original oral data pointing to at least the target intraoral tissue is determined by fitting and according to the characteristics of the target intraoral tissue.

5. The method for generating oral appliance information according to claim 2 or 4, It is characterized in that The method specifically comprises: Receiving a standard three-dimensional model formed after identifying and cutting the target intraoral tissue, and using edge feature data of the standard three-dimensional model as at least a part of the original oral data; The method specifically comprises: A standard intraoral image formed after identification and cropping of the target intraoral tissue is received, and edge feature data of the standard intraoral image is used as at least a part of the original oral data.

6. The method for generating oral appliance information according to claim 5, It is characterized in that Before the step of "receiving a standard three-dimensional model formed after identification and cutting of the target intraoral tissue", the step further includes: Inputting the oral cavity three-dimensional model into a preset region recognition neural network model to obtain the standard three-dimensional model; Before the step of "receiving a standard intraoral image formed after identification and cropping of the target intraoral tissue", the step further includes: The intraoral image data is input into a preset region recognition neural network model to obtain the standard intraoral image.

7. The method for generating oral appliance information according to claim 1, It is characterized in that The target oral tissue includes a vestibule groove, the oral characteristic data includes vestibule groove height data, and the original oral data includes frontal image data; The "analyzing the distribution and occupancy of the target oral tissue in the inner cavity space dimension according to the original oral data to obtain at least one set of oral characteristic data" specifically includes: Traversing all pixel parameters in the frontal image data, determining a first tooth position located in the upper jaw and a second tooth position located in the lower jaw, respectively, and using the coordinate of the midpoint of the gingival margin corresponding to the first tooth position as the first coordinate of the first tooth position, and using the coordinate of the midpoint of the gingival margin corresponding to the second tooth position as the second coordinate of the second tooth position; Taking the first coordinate as the starting point, traverse the pixel parameters in the front view image data along the second direction away from the crown of the first tooth position, determine the upper groove bottom pixel point located at the bottom of the upper vestibule groove, and obtain the first groove bottom coordinates correspondingly; wherein the second direction is the length extension direction of the tooth; Taking the second coordinate as the starting point, traverse the pixel parameters in the front view image data along the second direction away from the crown of the second tooth position, determine the lower groove bottom pixel point located at the bottom of the lower vestibule groove, and obtain the corresponding second groove bottom coordinate; The vestibule sulcus height data in the oral cavity feature data is calculated according to the first sulcus bottom coordinates and the second sulcus bottom coordinates.

8. The method for generating oral appliance information according to claim 7, It is characterized in that The first tooth position represents the position of the central incisor, the second tooth position represents the position of the lateral incisor, and the "calculating the vestibule groove height data in the oral feature data according to the first groove bottom coordinate and the second groove bottom coordinate" specifically includes: The distance between the first groove bottom coordinate and the second groove bottom coordinate in the extension direction of the tooth midline is calculated to obtain the vestibule groove height data.

9. The method for generating oral appliance information according to claim 7, It is characterized in that The “calculating the vestibule sulcus height data in the oral cavity feature data according to the first sulcus bottom coordinates and the second sulcus bottom coordinates” specifically includes: Traversing all tooth positions in the upper jaw in the frontal image data, respectively calculating corresponding groove bottom coordinates, and obtaining an upper groove bottom coordinate set including the first groove bottom coordinate; Traversing all the tooth positions in the mandible in the frontal image data, respectively calculating the corresponding groove bottom coordinates, and obtaining a lower groove bottom coordinate set including the second groove bottom coordinates; The vestibular sulcus height data is calculated based on the upper sulcus bottom coordinate set and the lower sulcus bottom coordinate set.

10. The method for generating oral appliance information according to claim 9, It is characterized in that The “calculating the vestibule sulcus height data according to the upper sulcus bottom coordinate set and the lower sulcus bottom coordinate set” specifically includes: According to the upper groove bottom coordinate set and the lower groove bottom coordinate set, respectively fitting an upper groove bottom distribution curve and a lower groove bottom distribution curve, and calculating the distance between the upper groove bottom distribution curve and the lower groove bottom distribution curve in the extension direction of the tooth centerline, to obtain a plurality of groups of groove bottom spacing values; A group of groove bottom spacing values ​​with the largest value among the plurality of groups of groove bottom spacing values ​​is traversed and extracted and used as the vestibular groove height data.

11. The method for generating oral appliance information according to claim 7, It is characterized in that The "taking the first coordinate as the starting point, traversing the pixel parameters in the front view image data along the second direction away from the crown of the first tooth position, determining the upper groove bottom pixel point located at the upper vestibule groove bottom, and correspondingly obtaining the first groove bottom coordinate" specifically includes: Taking the first coordinate as a starting point, traverse the pixel parameters in the front view image data along a second direction away from the crown of the first tooth position to obtain a first reference point representing a raised portion of a tooth root at the first tooth position and a first reference coordinate corresponding thereto; According to the first reference coordinates and the preset groove bottom prediction window, the upper groove bottom pixel point located at the upper vestibule groove bottom is determined, and the first groove bottom coordinates are obtained accordingly; The "taking the second coordinate as the starting point, traversing the pixel parameters in the front view image data along the second direction away from the crown of the second tooth position, determining the pixel point at the bottom of the lower vestibule groove, and correspondingly obtaining the second groove bottom coordinates" specifically includes: Taking the second coordinate as a starting point, traverse the pixel parameters in the front view image data along the second direction away from the crown of the second tooth position to obtain a second reference point representing a raised portion of the root of the second tooth position and a second reference coordinate corresponding thereto; According to the second reference coordinates and the groove bottom prediction window, the lower groove bottom pixel point located at the lower vestibule groove bottom is determined, and the corresponding second groove bottom coordinates are obtained.

12. The method for generating oral appliance information according to claim 11, It is characterized in that The length of the groove bottom prediction window is 1mm-2mm.

13. The method for generating oral appliance information according to claim 1, It is characterized in that The oral cavity feature data includes dental arch width data, and the original oral cavity data includes at least one of front view image data, upper jaw upward view image data, and lower jaw downward view image data; The "analyzing the distribution and occupancy of the target oral tissue in the inner cavity space dimension according to the original oral data to obtain at least one set of oral characteristic data" specifically includes: Traversing all pixel parameters in the original oral data, determining the third tooth position and the fourth tooth position located on the first maxillary surface, and using the coordinates of the midpoint of the gingival margin corresponding to the third tooth position as the third coordinate of the third tooth position, and using the coordinates of the midpoint of the gingival margin corresponding to the fourth tooth position as the fourth coordinate of the fourth tooth position; wherein the first maxillary surface is at least one of the maxilla or the mandible; Taking the third coordinate as a starting point, traverse the pixel parameters in the original oral data in a direction away from the crown of the third tooth position to obtain a third reference point representing a root ridge of the third tooth position and a third reference coordinate corresponding thereto; Taking the fourth coordinate as a starting point, traverse the pixel parameters in the original oral data in a direction away from the crown of the fourth tooth position to obtain a fourth reference point representing a root ridge of the fourth tooth position and a fourth reference coordinate corresponding thereto; The dental arch width data in the oral feature data is calculated according to the third reference coordinate and the fourth reference coordinate.

14. The method for generating oral appliance information according to claim 13, It is characterized in that The “calculating the dental arch width data in the oral feature data according to the third reference coordinate and the fourth reference coordinate” specifically includes: Determine a third groove bottom coordinate of a groove bottom pixel point located at the bottom of the vestibular groove according to the third reference coordinate and a preset groove bottom prediction window; Determine a fourth groove bottom coordinate of a groove bottom pixel point located at the bottom of the vestibular groove according to the fourth reference coordinate and a preset groove bottom prediction window; Calculating the dental arch width data in the oral feature data according to the third groove bottom coordinate and the fourth groove bottom coordinate; Wherein, the length of the groove bottom prediction window is 0mm-2mm.

15. The method for generating oral appliance information according to claim 14, It is characterized in that The third tooth position represents the position of the molar on one side of the dentition, and the fourth tooth position represents the position of the molar on the other side of the dentition. The "calculating the dental arch width data in the oral feature data according to the third groove bottom coordinates and the fourth groove bottom coordinates" specifically includes: The distance between the third groove bottom coordinate and the fourth groove bottom coordinate in the first direction is calculated to obtain the dental arch width data; wherein the first direction is the width extension direction of the central incisor.

16. The method for generating oral appliance information according to claim 14, It is characterized in that The “calculating the dental arch width data in the oral feature data according to the third groove bottom coordinate and the fourth groove bottom coordinate” specifically includes: Traversing all tooth positions located on the first maxillary surface in the original oral data, respectively calculating corresponding groove bottom coordinates, and obtaining a first groove bottom coordinate set including the third groove bottom coordinate and the fourth groove bottom coordinate; According to the first groove bottom coordinate set, the maximum coordinate difference in the first direction is calculated to obtain the dental arch width data; wherein the first direction is the width extension direction of the central incisor.

17. The method for generating oral appliance information according to claim 16, It is characterized in that The "calculating the maximum coordinate difference in the first direction according to the first groove bottom coordinate set to obtain the dental arch width data" specifically includes: According to the first groove bottom coordinate set, a first groove bottom distribution curve is fitted, and the coordinate difference of the groove bottom coordinates symmetrical to each other with the tooth midline as the symmetry axis in the first direction in the first groove bottom distribution curve is calculated to obtain several groups of dental arch width values; A group of dental arch width values ​​with the largest value among the plurality of groups of dental arch width values ​​is traversed and extracted and used as the dental arch width data.

18. The method for generating oral appliance information according to claim 1, It is characterized in that The target intraoral tissue includes a vestibular groove, the oral characteristic data includes dental arch curvature data, and the original oral data includes at least one of upper jaw upward view image data and lower jaw downward view image data; The "analyzing the distribution and occupancy of the target oral tissue in the inner cavity space dimension according to the original oral data to obtain at least one set of oral characteristic data" specifically includes: Traversing all pixel parameters in the original oral data, determining all tooth positions located on the first maxillary surface, and taking the midpoint of the gingival margin corresponding to the tooth position as the starting feature point of the tooth position; wherein the first maxillary surface is at least one of the upper jaw or the lower jaw; Taking the starting feature point as the starting point, traverse the pixel parameters in the original oral data in a direction away from the tooth position and the crown, determine the low gray value points located at the bottom of the vestibule groove, and obtain all the groove bottom pixel points corresponding to all the tooth positions; According to the groove bottom pixel points, a vestibule groove bottom distribution curve is fitted, and the curvature of the vestibule groove bottom distribution curve is calculated to obtain the dental arch curvature data.

19. The method for generating oral appliance information according to claim 1, It is characterized in that The target intraoral tissue includes a tooth root protuberance, the oral characteristic data includes dental arch curvature data, and the original oral data includes at least one of upper jaw upward view image data and lower jaw downward view image data; The "analyzing the distribution and occupancy of the target oral tissue in the inner cavity space dimension according to the original oral data to obtain at least one set of oral characteristic data" specifically includes: Traversing all pixel parameters in the original oral data, determining all tooth positions located on the first maxillary surface, and taking the midpoint of the gingival margin corresponding to the tooth position as the starting feature point of the tooth position; wherein the first maxillary surface is at least one of the upper jaw or the lower jaw; Taking the starting feature point as the starting point, traverse the pixel parameters in the original oral data in a direction away from the tooth crown, determine the low gray value points located at the root ridge, and obtain all reference feature points corresponding to all tooth positions; According to the reference feature points, a tooth root uplift distribution curve is fitted, and the curvature of the tooth root uplift distribution curve is calculated to obtain the dental arch curvature data.

20. The method for generating oral appliance information according to claim 1, It is characterized in that The target intraoral tissue includes lip frenulum, the oral characteristic data includes lip frenulum width data, and the original oral data includes frontal image data; The "analyzing the distribution and occupancy of the target oral tissue in the inner cavity space dimension according to the original oral data to obtain at least one set of oral characteristic data" specifically includes: Traversing all pixel parameters in the frontal image data, determining the left central incisor position, the right central incisor position and the tooth centerline located on the first maxillary surface, determining the left boundary line according to the left central incisor position, and determining the right boundary line according to the right central incisor position; wherein the first maxillary surface is at least one of the maxilla or the mandible; Traversing low gray value points in a first frenulum region between the tooth midline and the left boundary line, and low gray value points in a second frenulum region between the tooth midline and the right boundary line, respectively, and correspondingly obtaining a first frenulum coordinate set and a second frenulum coordinate set; The lip frenulum width data is calculated based on the first frenulum coordinate set and the second frenulum coordinate set.

21. The method for generating oral appliance information according to claim 20, It is characterized in that The left boundary line is parallel to the tooth midline, and the midpoint of the gingival margin of the left central incisor falls on the left boundary line. The right boundary line is parallel to the tooth midline, and the midpoint of the gingival margin of the right central incisor falls on the right boundary line.

22. The method for generating oral appliance information according to claim 20, It is characterized in that The “calculating the lip frenulum width data according to the first frenulum coordinate set and the second frenulum coordinate set” specifically includes: According to the first lacing coordinate set and the second lacing coordinate set, respectively fit a first lacing distribution curve and a second lacing distribution curve, and calculate the distance between the first lacing distribution curve and the second lacing distribution curve in a first direction to obtain a plurality of groups of lacing width values; Traversing to obtain a group of frenulum width values ​​with the largest value among the plurality of groups of frenulum width values, extracting and using the group of frenulum width values ​​as the lip frenulum width data; Wherein, the first direction is the width extension direction of the central incisor.

23. The method for generating oral appliance information according to claim 1, It is characterized in that The intraoral tissue includes the teeth and maxillofacial region, the oral characteristic data includes maxillofacial protrusion amplitude data, and the original oral data includes at least one of left-view image data and right-view image data; The "analyzing the distribution and occupancy of the target oral tissue in the inner cavity space dimension according to the original oral data to obtain at least one set of oral characteristic data" specifically includes: Traversing all pixel parameters in the original oral data, determining the first incisor located in the upper jaw and the second incisor located in the lower jaw, and fitting the maxillofacial protrusion curve formed by the first incisor and the second incisor according to the low gray value boundary points of the first incisor and the second incisor; The curvature of the maxillofacial protrusion curve is calculated to obtain the maxillofacial protrusion amplitude data.

24. The method for generating oral appliance information according to claim 1, It is characterized in that The "determining, according to the target device type, and traversing in a preset target device information library according to the oral feature data to determine the oral device information that is closest to the oral feature data in the spatial dimension" specifically includes: According to a preset weighting rule, weights are set for different types of data in the oral characteristic data, and weighted characteristic data is calculated; According to the target device type, determine and in a preset target device information library, traverse upward in the spatial dimension layer based on the weighted feature data to determine the oral device information that is closest to the oral feature data in the spatial dimension; The oral characteristic data include vestibule height data and dental arch curvature data, and the weighting rule sets the weight of the vestibule height data to be greater than the weight of the dental arch curvature data.

25. The method for generating oral appliance information according to claim 24, It is characterized in that The oral feature data also includes maxillofacial protrusion amplitude data, and the weighting rule sets the weight of the dental arch curvature data to be greater than the weight of the maxillofacial protrusion amplitude data.

26. The method for generating oral appliance information according to claim 1, It is characterized in that The oral characteristic data includes at least one of dental arch width data, vestibule sulcus height data, lip frenulum width data, maxillofacial protrusion amplitude data and dental arch curvature data; The "determining, according to the target device type, and traversing in a preset target device information library according to the oral feature data to determine the oral device information that is closest to the oral feature data in the spatial dimension" specifically includes: According to the target device type, determine and traverse in a preset device information library all device information whose corresponding indicator values ​​are greater than the dental arch width data and / or the vestibule groove height data and / or the lip frenulum width data and / or the maxillofacial protrusion amplitude data, and / or traverse all device information whose corresponding indicator values ​​are less than the dental arch curvature data, and determine the oral device information that is closest to the corresponding oral feature data in the spatial dimension.

27. The method for generating oral appliance information according to claim 26, It is characterized in that The "traversing all the device information whose corresponding index values ​​are greater than the dental arch width data and / or the vestibule groove height data and / or the lip frenulum width data and / or the maxillofacial protrusion amplitude data, and determining the oral device information closest to the corresponding oral feature data in the spatial dimension" specifically includes: Using the rounding up method, traverse all the device characteristic data whose corresponding index values ​​are greater than the dental arch width data and / or the vestibule groove height data and / or the lip frenulum width data and / or the maxillofacial protrusion amplitude data; Determine the device characteristic data which is closest in value to the corresponding oral characteristic data, and determine the oral device information according to the device characteristic data; The "traversing all the device information whose corresponding index value is smaller than the dental arch curvature data, and determining the oral device information closest to the corresponding oral feature data in the spatial dimension" specifically includes: Using the rounding down method, traverse all the device characteristic data whose corresponding index values ​​are greater than the dental arch curvature data; The device characteristic data which is closest in value to the corresponding oral characteristic data is determined, and the oral device information is determined according to the device characteristic data.

28. The method for generating oral appliance information according to claim 1, It is characterized in that The oral appliance information includes at least one of orofacial muscle trainer information, mouth breathing corrector information and invisible appliance information.

29. The method for generating oral appliance information according to claim 1, It is characterized in that The "traversing the preset target device information library according to the oral feature data to determine the oral device information closest to the oral feature data in the spatial dimension" specifically includes: receiving and determining the oral device information based on at least one of the target personal information, the clinical diagnosis information, and the oral characteristic data; The target personal information includes at least one of age and gender, and the clinical diagnosis information includes a mark of insufficient training of the first orofacial muscle group.

30. A method for generating oral device information, It is characterized in that include: Acquire at least one set of original oral cavity data at least pointing to target intraoral tissue; Analyzing the distribution and occupancy of the target oral tissue in the inner cavity space dimension according to the original oral data to obtain at least one set of oral characteristic data; In the preset multiple sets of instrument information databases, traverse respectively according to the oral characteristic data to determine multiple sets of oral instrument information closest to the oral characteristic data in the spatial dimension; wherein the multiple sets of instrument information databases store oral instrument information corresponding to multiple types of oral instruments; The target intraoral tissue is determined according to the target device type information; and the original oral data is screened according to the target intraoral tissue.

31. The method for generating oral appliance information according to claim 30, It is characterized in that The oral characteristic data includes at least one of dental arch width data, vestibule sulcus height data, lip frenulum width data, maxillofacial protrusion amplitude data and dental arch curvature data; The "in a preset plurality of sets of device information libraries, traversing the oral feature data respectively to determine a plurality of sets of oral device information closest to the oral feature data in the spatial dimension" specifically includes: In the preset multiple groups of instrument information libraries, all instrument information whose corresponding indicator values ​​are greater than the dental arch width data and / or the vestibule groove height data and / or the lip frenulum width data and / or the maxillofacial protrusion amplitude data, and / or all instrument information whose corresponding indicator values ​​are less than the dental arch curvature data are traversed, and multiple groups of oral instrument information that are closest to the corresponding oral feature data in the spatial dimension and correspond to the multiple groups of instrument information libraries are determined.

32. An oral device information generation system, It is characterized in that It includes a processor, a memory and a communication bus, wherein the processor and the memory communicate with each other through the communication bus; The memory is used to store the application program; The processor is used to implement the steps of the oral appliance information generation method according to any one of claims 1 to 29 when executing the application stored in the memory.

33. A storage medium having an application program stored thereon, It is characterized in that When the application is executed, the steps of the oral appliance information generating method according to any one of claims 1 to 29 are implemented.

34. An oral appliance, It is characterized in that The configuration is constructed based on oral appliance information, and the oral appliance information is generated according to the oral appliance information generation method according to any one of claims 1-29.

35. The oral appliance of claim 34, It is characterized in that The oral appliance is used for training the orofacial muscle function and / or for treating mouth breathing.

36. The oral appliance of claim 34, It is characterized in that The oral appliance comprises a left end portion and a right end portion, and the original oral data comprises a corresponding left distal root ridge and a right distal root ridge respectively; The difference between the distance between the left end portion and the right end portion and the distance between the left distal root ridge and the right distal root ridge is greater than or equal to 3 mm.

37. A method for forming an oral appliance, It is characterized in that include: Execute the oral appliance information generation method according to any one of claims 1 to 29 to obtain oral appliance information; An oral appliance is generated according to the oral appliance information.

38. The method for forming an oral appliance according to claim 37, It is characterized in that The “generating an oral appliance according to the oral appliance information” specifically includes: Generate and output an oral device receipt according to the oral device information; The oral device is received and generated according to the oral device receipt.

Images