Oral instrument, information generation method and system thereof and storage medium

Abstract

The invention discloses an oral instrument, an information generation method and system thereof and a storage medium, and the method comprises the steps: determining a target intraoral tissue according to target instrument type information, obtaining at least one group of original oral data at least pointing to the target intraoral tissue according to the target intraoral tissue, and obtaining at least one group of original oral data at least pointing to the target intraoral tissue according to the original oral data; the distribution condition and / or occupation condition of the target intraoral tissue in the inner cavity space dimension are / is analyzed, at least one group of oral cavity feature data is obtained, and according to the target instrument type, oral cavity instrument information closest to the oral cavity feature data in the space dimension is determined in a target instrument information base through retrieval according to the oral cavity feature data. According to the oral instrument information generation method provided by the invention, the dependence of selection errors and clinical experience can be avoided, and the matching degree between the oral instrument information and the model or the actual condition is improved.

Description

Technical Field

[0001] The present application relates to the technical field of medical devices, and in particular to an oral device and an information generation method, system and 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 application 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 oral instrument information and actual oral conditions, poor usage experience, and affecting training or treatment effects.

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

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

[0007] One of the purposes of this application is to provide a storage medium.

[0008] One of the purposes of the present application is to provide an oral appliance.

[0009] To achieve one of the above-mentioned purposes, an embodiment of the present application provides a method for generating oral instrument information, comprising: determining a target oral tissue based on target instrument type information, obtaining at least one set of original oral data pointing to at least the target oral tissue based on the target oral tissue, analyzing the distribution and / or 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, and according to the target instrument type, searching the 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.

[0010] Optionally, when the first information is incomplete, second information corresponding to the first information is obtained, and the original oral data is determined based on the first information. The first information and the second information are information characterizing the internal tissue structure of the oral cavity. Based on the second information, the characteristics of the target oral tissue are re-fitted, and based on the re-fitted characteristics of the target oral tissue, the original oral data pointing to at least the target oral tissue is determined.

[0011] Optionally, the first information and the second information satisfy at least one of the following: the first information is determined based on a three-dimensional model of the oral cavity, and the second information is determined based on an intraoral image; the first information is determined based on an intraoral image, and the second information is determined based on a three-dimensional model of the oral cavity.

[0012] Optionally, the first information is input into a preset region recognition neural network model to determine edge feature data corresponding to the target oral tissue as at least part of the original oral data.

[0013] Optionally, based on the original oral data, determine the position feature points of the first tooth position in the upper jaw and the position feature points of the second tooth position in the mandible, retrieve the parameters of the point in the original oral data located in the second direction away from the crown of the first tooth position based on the position feature points of the first tooth position, determine the upper groove bottom pixel point located at the bottom of the upper vestibule groove, and obtain the corresponding first groove bottom coordinates, retrieve the parameters of the point in the original oral data located in the second direction away from the crown of the second tooth position based on the position feature points 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 coordinates, and calculate the vestibule groove height data characterizing the occupancy of the vestibule groove based on the first groove bottom coordinates and the second groove bottom coordinates.

[0014] Optionally, the first tooth position represents the position of the central incisor, the second tooth position represents the position of the lateral incisor, and the vestibule groove height data is determined based on the distance between the first groove bottom coordinate and the second groove bottom coordinate in the extension direction of the tooth midline.

[0015] Optionally, based on the position feature points of the teeth located in the upper jaw and the position feature points of the teeth located in the lower jaw in the original oral data, the distance information in the second direction or the direction in which the tooth midline extends is determined, and based on the distance information in the second direction or the direction in which the tooth midline extends, the vestibule groove height data is determined.

[0016] Optionally, the position of a reference point of the root protuberance corresponding to the tooth position is determined according to the position feature point of the tooth position, and the groove bottom coordinates corresponding to the tooth position are determined according to the position of the reference point and a preset groove bottom prediction window.

[0017] Optionally, based on the original oral data, the position feature points of the third tooth position and the fourth tooth position located on the first maxillary surface are determined, and the first maxillary surface is at least one of the upper jaw or the lower jaw. Based on the position feature points of the third tooth position, the parameters of the point located in the original oral data away from the tooth crown of the third tooth position are retrieved to determine the third coordinates of the vestibule groove bottom or the root ridge corresponding to the third tooth position. Based on the position feature points of the fourth tooth position, the parameters of the point located in the original oral data away from the tooth crown of the fourth tooth position are retrieved to determine the fourth coordinates of the vestibule groove bottom or the root ridge corresponding to the fourth tooth position. Based on the third coordinates and the fourth coordinates, the dental arch width data characterizing the occupancy of the target oral tissue is calculated; the third coordinate and the fourth coordinate are configured according to at least one of the following: the third coordinate is determined according to the position of the vestibule groove bottom corresponding to the third tooth position, and the fourth coordinate is determined according to the position of the vestibule groove bottom corresponding to the fourth tooth position; the third coordinate is determined according to the position of the root ridge corresponding to the third tooth position, and the fourth coordinate is determined according to the position of the root ridge corresponding to the fourth tooth position.

[0018] Optionally, the third tooth position represents the position of the molar on one side of the dentition, the fourth tooth position represents the position of the molar on the other side of the dentition, and the dental arch width data is determined based on the distance between the third coordinate and the fourth coordinate in the width direction of the central incisor.

[0019] Optionally, based on the position feature points of the teeth located on the first maxillary surface in the original oral data, the coordinate difference information in a first direction is determined, the first direction being the width extension direction of the central incisor, and the dental arch width data is determined based on the coordinate difference information in the first direction.

[0020] Optionally, based on the original oral data, the position feature points of the tooth position located on the first maxillary surface are determined, and the first maxillary surface is at least one of the upper jaw or the lower jaw. Based on the position feature points of the tooth position on the first maxillary surface, the parameters of the points of the crown located away from the tooth position in the original oral data are retrieved to determine the low gray value points corresponding to the first maxillary surface. Based on the low gray value points, a distribution curve is fitted to calculate the dental arch curvature data characterizing the occupancy of the target oral tissue, and the distribution curve is the distribution curve of the vestibule groove bottom or the distribution curve of the root protuberance.

[0021] Optionally, based on the original oral data, the left central incisor position, the right central incisor position and the tooth centerline located on the first maxillary surface are determined, the left boundary line is determined based on the left central incisor position, and the right boundary line is determined based on the right central incisor position, the first maxillary surface is at least one of the maxillary or mandibular, and based on the tooth centerline and the left boundary line and the right boundary line, the low gray value points in the first frenulum area and the second frenulum area are determined, and based on the low gray value points in the first frenulum area and the second frenulum area, the lip frenulum width data characterizing the occupancy of the lip frenulum is calculated.

[0022] Optionally, based on the low gray value points in the first frenulum area and the low gray value points in the second frenulum area, distance information in a first direction is determined, the first direction being the width extension direction of the central incisor, and based on the distance information in the first direction, the lip frenulum width data is determined.

[0023] Optionally, based on the original oral data, determine the boundary low gray value points of the first incisor located in the maxilla and the second incisor located in the mandible, fit the maxillofacial protrusion curve formed by the first incisor and the second incisor, calculate the curvature of the maxillofacial protrusion curve, and obtain the maxillofacial protrusion amplitude data that characterizes the maxillofacial occupancy situation.

[0024] Optionally, weights are set for different types of data in the oral feature data, and weighted feature data is calculated. According to the target device type, the weighted feature data is determined and searched 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; weights are set for different types of data based on at least one of the following: the weight of the vestibule groove height data is greater than the weight of the dental arch curvature data; the weight of the dental arch curvature data is greater than the weight of the maxillofacial protrusion amplitude data.

[0025] Optionally, at least one of the following is included: oral appliance information includes at least one of orofacial muscle trainer information, mouth breathing corrector information and invisible appliance information; oral feature data is determined based on the grayscale value of the midpoint of the original oral data.

[0026] To achieve one of the above-mentioned purposes, an embodiment of the present application provides an oral instrument information generation system, including 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 application programs; and the processor is used to implement the steps of any oral instrument information generation method when executing the application programs stored in the memory.

[0027] To achieve one of the above objectives, an embodiment of the present application provides a storage medium on which an application is stored. When the application is executed, the steps of any oral appliance information generation method are implemented.

[0028] To achieve one of the above-mentioned purposes, an embodiment of the present application provides an oral appliance, which is configured to be constructed based on oral appliance information, and the oral appliance information is generated according to any oral appliance information generation method; the oral appliance is configured according to at least one of the following: the oral appliance is used to train orofacial muscle function and / or to treat mouth breathing; 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.

[0029] Compared with the prior art, the oral device information generation method provided by the present application collects and specifically extracts the internal features of the oral cavity, searches the target device information library according to the obtained oral feature data, and determines the oral device information that meets the target device type and corresponds to the internal features of the oral cavity; the entire process specifically generates the 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 the necessary original feature data according to the requirements of the target device type, so as to complete 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

[0030] Figure 1 It is a schematic diagram of the structure of the three-dimensional model of the oral cavity when the oral appliance is not installed in one embodiment of the present application.

[0031] 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 application.

[0032] Figure 3 It is a structural diagram of an oral instrument information generation system in one embodiment of the present application.

[0033] Figure 4 It is a schematic diagram of the steps of a method for generating oral instrument information in one embodiment of the present application.

[0034] 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 application.

[0035] Figure 6 It is a schematic diagram of some steps of a specific example of the first embodiment of the method for generating oral instrument information in one embodiment of the present application.

[0036] 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 application.

[0037] Figure 8 It is a schematic diagram of the display status of original oral data when the second embodiment of the oral appliance information generation method is implemented in one embodiment of the present application.

[0038] Fig. 9 It is a partial step diagram of a first specific example of a second embodiment of a method for generating oral appliance information in one embodiment of the present application.

[0039] 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 application.

[0040] 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 application.

[0041] Fig.12 It is a schematic diagram of the steps of the third embodiment of the method for generating oral appliance information in one embodiment of the present application.

[0042] Fig.13 It is a schematic diagram of the display status of original oral data when the third embodiment of the oral instrument information generation method is implemented in one embodiment of the present application.

[0043] Fig.14 It is a partial step diagram of a specific example of the third embodiment of the method for generating oral instrument information in one embodiment of the present application.

[0044] Fig.15 It is a schematic diagram of the display status of original oral data when implementing a specific example of the third embodiment of the oral instrument information generation method in one embodiment of the present application.

[0045] Fig.16 It is a schematic diagram of the display state of original oral data when implementing another specific example of the third embodiment of the oral appliance information generation method in one embodiment of the present application.

[0046] Fig.17 It is a schematic diagram of the steps of the fourth embodiment of the method for generating oral appliance information in one embodiment of the present application.

[0047] Fig.18It is a schematic diagram of the display status of original oral data when the fourth embodiment of the oral instrument information generation method is implemented in one embodiment of the present application.

[0048] Fig.19 It is a schematic diagram of the steps of the fifth embodiment of the method for generating oral appliance information in one embodiment of the present application.

[0049] Fig. 20 It is a schematic diagram of the steps of the sixth embodiment of the method for generating oral appliance information in one embodiment of the present application.

[0050] Fig.21 It is a schematic diagram of the display status of original oral data when the sixth embodiment of the oral instrument information generation method is implemented in one embodiment of the present application.

[0051] Fig. 22 It is a schematic diagram of the steps of the seventh embodiment of the method for generating oral instrument information in one embodiment of the present application.

[0052] Fig.23 It is a schematic diagram of the display status of original oral data when the seventh embodiment of the oral instrument information generation method is implemented in one embodiment of the present application.

[0053] Fig.24 It is a schematic diagram of the steps of the eighth embodiment of the method for generating oral instrument information in one embodiment of the present application.

[0054] Fig.25 It is a schematic diagram of the steps of a method for generating oral instrument information in another embodiment of the present application.

[0055] Fig.26 It is a schematic diagram of the steps of the oral appliance molding method in one embodiment of the present application. DETAILED DESCRIPTION

[0056] The present application will be described in detail below in conjunction with the specific implementations shown in the accompanying drawings. However, these implementations do not limit the present application, and any structural, methodological, or functional changes made by a person of ordinary skill in the art based on these implementations are all included in the protection scope of the present application.

[0057] 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.

[0058] The main idea of ​​this application 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 this application 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.

[0059] The following will further describe various embodiments, technical principles and corresponding technical effects of the present application in conjunction with the accompanying drawings. In one embodiment of the present application, 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.

[0060] In a specific example of the present application, 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. Among them, 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.

[0061] like Figure 1 and Figure 2 As shown, the oral appliance 200 provided by the present application 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.

[0062] Specifically, for different types of oral appliances 200, there may be tendency differences in their fitting requirements for 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 in the present application 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 in the present application 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.

[0063] 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.

[0064] 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.

[0065] 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.

[0066] 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.

[0067] 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.

[0068] 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 in the present application, 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.

[0069] Before specifically introducing the oral appliance information method, the present application provides a storage medium, which may be specifically a computer-readable storage medium. The storage medium may be arranged in a computer and store an application program. In this case, the storage medium may be any available medium that a computer can access data, or may be a storage device such as a server or a data center that includes one or more available media integrated therein. The available medium may 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.

[0070] One embodiment of the present application further provides a Figure 3The 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.

[0071] 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.

[0072] 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 3 Only 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.

[0073] 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.

[0074] Of course, although the present application 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.

[0075] like Figure 4 As shown, an embodiment of the present application 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 generation 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.

[0076] Step 41, obtaining at least one set of original oral cavity information pointing to at least the target oral tissue.

[0077] 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.

[0078] The present application 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 screening the original oral data according to the target oral tissue.

[0079] 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.

[0080] 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.

[0081] 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.

[0082] 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.

[0083] 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.

[0084] 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.

[0085] 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.

[0086] 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.

[0087] 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.

[0088] 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.

[0089] 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.

[0090] In a preferred embodiment based on the above implementation, the present application optimizes the step 41. The 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.

[0091] 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 posture 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.

[0092] 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.

[0093] 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 application 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.

[0094] Step 41, obtaining at least one set of original oral cavity data pointing to at least the target oral tissue. The step 41 specifically includes:

[0095] Step 411, obtaining and establishing an oral three-dimensional model based on an oral silicone model and / or an oral scan model;

[0096] Step 412, determining original oral cavity data pointing to at least the target oral tissue based on the oral 3D model.

[0097] 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.

[0098] 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.

[0099] 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.

[0100] 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 application provides another specific example of the first embodiment of the method for generating oral appliance information, including the following steps.

[0101] Step 41, obtaining at least one set of original oral cavity data pointing to at least the target oral tissue. The step 41 specifically includes:

[0102] Step 413, acquiring and determining original oral data pointing to at least the target intraoral tissue based on the intraoral image data.

[0103] 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.

[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 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.

[0106] like Figure 5 and Figure 6 As shown, based on the first embodiment of the above-mentioned method for generating oral instrument information, the present application provides a further specific example of the first embodiment, which may include the following steps.

[0107] 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:

[0108] Step 411, obtaining and establishing an oral three-dimensional model based on an oral silicone model and / or an oral scan model;

[0109] Step 4120, traverse and determine whether the oral cavity three-dimensional model meets the preset integrity condition;

[0110] 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.

[0111] 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.

[0112] 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.

[0113] 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.

[0114] 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.

[0115] 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.

[0116] Corresponding to step 4122, after step 4120, the following steps may also be included:

[0117] 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.

[0118] 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 application provides another further specific example, including the following steps.

[0119] 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:

[0120] Step 4130', obtaining intraoral image data;

[0121] Step 4131', traverse and determine whether the intraoral image data meets the preset integrity condition;

[0122] 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.

[0123] 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.

[0124] 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.

[0125] Of course, the present application can also be based on 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 application provides another further specific example based on the above first embodiment, including 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 4141, obtaining intraoral image data and the corresponding oral three-dimensional model.

[0128] 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.

[0129] 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.

[0130] 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.

[0131] 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.

[0132] 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.

[0133] (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.

[0134] (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.

[0135] (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.

[0136] For the above-mentioned technical means (2) and (3), the present application 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.

[0137] 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.

[0138] 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.

[0139] When the data source is a two-dimensional image, under the above two technical means, the present application 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 identification and cropping according to the target intraoral tissue. The step 4151 can be a part of the step 413, or a part of the step 4142.

[0140] 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.

[0141] 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.

[0142] 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.

[0143] 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.

[0144] 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 application further provides a second embodiment of the method for generating oral appliance information based on the above-mentioned implementation manner, and the second embodiment specifically includes the following steps.

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

[0146] 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 feature data. The step 42 specifically includes:

[0147] 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;

[0148] 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;

[0149] 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;

[0150] 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.

[0151] Step 43: Based on the target instrument type, determine and traverse in a preset target instrument information database according to the oral feature data to determine the oral instrument information that is closest to the oral feature data in the spatial dimension.

[0152] Wherein, the second direction is the length extension direction of the tooth. In this way, the vestibular sulcus height data pointing to the vestibular sulcus can be selectively analyzed, and the appropriate oral instrument information can be matched accordingly. At this time, the overall method process is as follows: According to the target instrument type information with the need for detecting the vestibular sulcus height, determine that the target intraoral tissue is the vestibular sulcus, and determine that the original oral data is the frontal view image data; Analyze the vestibular sulcus height data representing the occupancy of the vestibular sulcus distribution on the original oral data as the oral feature data; Traverse in the target instrument information database according to the vestibular sulcus height data to obtain the most matching oral instrument information.

[0153] Preferably, the pixel parameter can be the gray value of the pixel point, or other parameters such as the coordinates of the spatial point, etc., which will not be elaborated herein. The "all pixel parameters" can be interpreted as the pixel parameters of all pixel points, or can be interpreted as all pixel parameters of all pixel points.

[0154] In this embodiment, the way to determine the first coordinate and the second coordinate is to use the coordinates of the midpoint of the gingival margin at the corresponding tooth position as the coordinates representing the tooth position feature. On the one hand, it can avoid misjudging the low gray value points at the gingival margin as the corresponding sulcus bottom pixel points when traversing the gray value starting from other points of the tooth position; on the other hand, it can reduce the data volume in the gray value traversal process and shorten the gray value traversal process. In addition, the criterion for judging whether a pixel point is located at the bottom of the vestibular sulcus can be that the gray value of the pixel point falls within a preset low gray value range, and the low gray value range can be [0, 50]. Of course, the starting point of the low gray value range is usually set to 0, and the length of this range can be adjusted according to actual needs. The shorter the range length, the more significant the effect of shielding the low gray value pixel points located at the gingival margin, dental calculus or root eminence. The method for judging the tooth position can be to traverse the frontal view image data (or in other embodiments, it can be to traverse the original oral data), determine the pixel points whose gray values fall within a preset high gray value range, and call the Graham scan method according to the formed pixel point set to determine the convex hull range to reflect the tooth crown corresponding to the tooth position, so as to determine the required first tooth position and second tooth position according to the relative position relationship of the tooth crowns.

[0155] In this embodiment, the basis for determining the upper sulcus floor pixel points and the lower sulcus floor pixel points is the gray value of the pixels in the frontal view image data. Since the vestibular sulcus floor is farther from the incisal edge of the tooth crown than positions such as the tooth crown or the tooth root, the pixel points located at the vestibular sulcus floor in the frontal view image data will have lower gray values. Based on this, the upper sulcus floor pixel points, the lower sulcus floor pixel points, the first sulcus floor coordinates, and the second sulcus floor coordinates can be determined. Of course, after performing point cloud or point set analysis on the oral three-dimensional model, it is also possible to determine the feature point farthest from the incisal edge of the tooth crown in the direction perpendicular to the occlusal surface (or, perpendicular to the plane where the labial surface of the central incisor is located) on the oral three-dimensional model as the sulcus floor pixel point corresponding to the tooth position, and thereby determine the corresponding sulcus floor coordinates.

[0156] The first sulcus floor coordinates and the second sulcus floor coordinates can be relative to the plane rectangular coordinate system or the space rectangular coordinate system established on the oral three-dimensional model. Among them, when establishing the plane rectangular coordinate system, at least the relative position relationship between the tooth position and the sulcus floor should be reflected. 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 dental midline. Since the first sulcus floor coordinates and the second sulcus floor coordinates are respectively located in the maxilla and the mandible of the oral three-dimensional model, at least a set of vestibular sulcus height data can be obtained for subsequent traversal and matching. For example, as Figure 8 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 figure in Figure 8 is a schematic diagram of the frontal view image of the oral three-dimensional model,

[0157] In a preferred embodiment, the first tooth position can represent the position where the central incisor is located, and the second tooth position can represent the position where the lateral incisor is located. Based on this, step 424A can specifically include the steps of: calculating the distance between the first sulcus floor coordinates and the second sulcus floor coordinates in the extension direction of the dental midline to obtain the vestibular sulcus height data.

[0158] Using this preferred embodiment, only the features at two tooth positions need to be analyzed, so as to estimate relatively accurate vestibular sulcus height data. Since the first tooth position points to the maxilla, the upper sulcus floor pixel point corresponding to the maxillary central incisor position can be used to point to the highest point of the upper vestibular sulcus relative to the occlusal plane, and since the second tooth position points to the mandible, the lower sulcus floor pixel point corresponding to the mandibular lateral incisor position can be used to point to the lowest point of the lower vestibular sulcus relative to the occlusal plane. Thus, the vestibular sulcus height data calculated according to this preferred embodiment can characterize the maximum width situation of the area surrounded by the upper and lower vestibular sulci as a whole, that is, the maximum width on the oral appliance can be determined accordingly.

[0159] In this preferred embodiment, as Figure 8 shown, the first coordinate point is c1, and the second coordinate point is c2. The first and second bottom coordinate points of the groove determined along the second direction D2 are d1 and d2 respectively. Based on this, the height data ΔH of the vestibular groove can be calculated according to the distance between the two in the extension direction of the dental midline, in other words, according to the length of the projection of the line connecting the two in the extension direction of the dental midline.

[0160] As Figure 4 , Figure 7 and Fig. 9 shown, based on the second embodiment of the above method for generating oral instrument information, the present application provides a first specific example of the second embodiment. 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 be referred to the previous description and will not be elaborated here. However, particularly, a refined implementation manner is provided for step 424A in the first specific example. That is, in the first specific example, step 424A may specifically include the following steps.

[0161] Step 51A, traverse all the tooth positions in the frontal view image data that are located in the upper jaw, calculate the corresponding bottom coordinates of the groove respectively, and obtain an upper bottom coordinate set containing the first bottom coordinate of the groove.

[0162] Step 52A, traverse all the tooth positions in the frontal view image data that are located in the lower jaw, calculate the corresponding bottom coordinates of the groove respectively, and obtain a lower bottom coordinate set containing the second bottom coordinate of the groove.

[0163] Step 53A, calculate the height data of the vestibular groove according to the upper bottom coordinate set and the lower bottom coordinate set.

[0164] In this way, the amount of data for calculation is increased, the calculation accuracy can be further improved, and the height data of the vestibular groove that can represent the overall width of the area surrounded by the upper and lower vestibular grooves can be obtained.

[0165] Among them, for the specific calculation method of the height data of the vestibular groove in step 53A, it can be to fit distribution curves according to the upper bottom coordinate set and the lower bottom coordinate set respectively, and calculate the distance between the two distribution curves, so as to obtain multiple groups of height data of the vestibular groove; it can also be to iterate and sequentially select a first bottom coordinate in the upper bottom coordinate set and a second bottom coordinate in the lower bottom coordinate set, form a bottom height data pair, and then calculate the distance between the two bottom coordinates in the second direction or the extension direction of the dental midline, so as to obtain multiple groups of height data of the vestibular groove. After obtaining the multiple groups of height data of the vestibular groove, it can further traverse and compare to screen out the height data of the vestibular groove with the largest value as the finally output height data of the vestibular groove.

[0166] Preferably, in the first specific example of the second embodiment provided in the present application, step 53A may further specifically include the following refined steps.

[0167] Step 531A: According to the upper sulcus bottom coordinate set and the lower sulcus bottom coordinate set, fit the upper sulcus bottom distribution curve and the lower sulcus bottom distribution curve respectively, and calculate the distance between the upper sulcus bottom distribution curve and the lower sulcus bottom distribution curve in the extension direction of the dental midline to obtain several groups of sulcus bottom spacing values.

[0168] Step 532A: Traverse to obtain the group of sulcus bottom spacing values with the largest value among several groups of sulcus bottom spacing values, extract and use it as the vestibular sulcus height data.

[0169] In this specific example, it is preferably to calculate the vestibular sulcus height data by fitting the sulcus bottom distribution curve. On the one hand, the data volume of this technical solution is large, which can improve the accuracy of the final result and thus improve the comfort of the user's wearing; on the other hand, the fitting curve can avoid the problem of missing transition segments caused by discrete coordinate points, resulting in the final output of the vestibular sulcus height data being less than the actual height value. That is, the scheme using the fitting curve can approximately insert more coordinate points between discrete coordinate points to further improve the overall operation accuracy.

[0170] Combined with Figure 8 As shown, the upper sulcus bottom distribution curve Lu can be determined according to the upper sulcus bottom coordinate set, and the lower sulcus bottom distribution curve Ld can be determined according to the lower sulcus bottom coordinate set, and the distance between the two distribution curves at different positions is calculated. The retrieval process may specifically be to calculate the distance between point pairs with the same position on the two distribution curves relative to the extension direction of the central incisor width (i.e., the first direction D1) as the sulcus bottom spacing value, so as to finally determine the sulcus bottom spacing value with the largest value as the vestibular sulcus height data ΔH. Exemplarily, the two "dots" corresponding to the vestibular sulcus height data ΔH in the figure are one of the "point pairs".

[0171] As Figure 4 、 Figure 7 and Fig.10As shown in the second embodiment of the above-mentioned oral instrument information generation method, the present application provides a second specific example of the second embodiment. In the second specific example, specific refinement implementation manners of step 422A and step 423A are provided. Specifically, for step 422A, step 4221A and step 4222A are provided, and for step 423A, step 4231A and step 4232A are provided. In addition, the descriptions of features, explanations, and technical effects in the previous text can be followed for other steps in the second specific example. In particular, for step 422A to which step 4221A and step 4222A belong, for step 423A to which step 4231A and step 4232A belong, and for step 42 to which the above steps commonly belong, etc., they will not be elaborated in the following text. Specifically, the second specific example may include the following steps.

[0172] Step 41, obtain at least one set of original oral data that at least points to the target intraoral tissue.

[0173] Step 42, according to the original oral data, analyze the distribution occupancy of the target intraoral tissue in the inner cavity space dimension to obtain at least one set of oral feature data. The step 42 specifically includes:

[0174] Step 421A, traverse all pixel parameters in the frontal view image data, determine the first tooth position in the upper jaw and the second tooth position in the lower jaw respectively, and use the coordinates of the gingival margin midpoint corresponding to the first tooth position as the first coordinate of the first tooth position, and use the coordinates of the gingival margin midpoint corresponding to the second tooth position as the second coordinate of the second tooth position.

[0175] Step 4221A, starting from the first coordinate, traverse the pixel parameters in the frontal view image data in the second direction away from the crown of the first tooth position to obtain a first reference point representing the root elevation of the first tooth position and its corresponding first reference coordinate.

[0176] Step 4222A, according to the first reference coordinate and the preset sulcus bottom prediction window, determine the upper sulcus bottom pixel points located at the upper vestibular sulcus bottom, and correspondingly obtain the first sulcus bottom coordinates.

[0177] Step 4231A, starting from the second coordinate, traverse the pixel parameters in the frontal view image data in the second direction away from the crown of the second tooth position to obtain a second reference point representing the root elevation of the second tooth position and its corresponding second reference coordinate.

[0178] Step 4232A, according to the second reference coordinate and the sulcus bottom prediction window, determine the lower sulcus bottom pixel points located at the lower vestibular sulcus bottom, and correspondingly obtain the second sulcus bottom coordinates.

[0179] Step 424A, calculate the vestibular sulcus height data in the oral cavity feature data according to the first sulcus bottom coordinate and the second sulcus bottom coordinate.

[0180] Step 43, according to the target instrument type, determine and traverse in the preset target instrument information library according to the oral cavity feature data, and determine the oral instrument information that is closest to the oral cavity feature data in the spatial dimension.

[0181] In the second specific example of this second embodiment, the process of determining the first sulcus bottom coordinate and the second sulcus bottom coordinate according to the first coordinate and the second coordinate is split into two steps, that is, first determine the position of the root eminence of the corresponding tooth position according to the gingival margin midpoint or other position feature points of the tooth position, and then determine the sulcus bottom position according to the position of the root eminence, so that the low gray value point representing the root eminence retrieved first can be used as a reference point according to the gingival margin midpoint, preventing errors caused by the retrieval of sulcus bottom pixel points relying too much 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 eminence can have a larger interval length.

[0182] Combined with Fig.11 As shown, the length extension direction of the sulcus 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 sulcus bottom coordinate point is d1, the second sulcus bottom coordinate point is d2, and the length of the sulcus bottom prediction window is Δw.

[0183] In a preferred implementation manner, the length Δw of the sulcus bottom prediction window is one of 1 mm to 2 mm. The selection of the length Δw of the sulcus bottom prediction window can be determined according to the position of the tooth position on the dental arch. Preferably, the length of the sulcus bottom prediction window corresponding to the tooth position in the upper jaw can be set smaller, and the length of the sulcus bottom prediction window corresponding to the tooth position in the lower jaw can be set larger, so as to conform to the structure of general oral tissues. The selection of the length Δw of the sulcus bottom prediction window can also be determined according to the overall size of the oral cavity and / or the development of oral tissues.

[0184] Of course, the proposal of this second specific example does not mean that all the schemes for determining the first sulcus bottom coordinate and the second sulcus bottom coordinate in the second embodiment need to first determine the first reference coordinate and the second reference coordinate. As mentioned above, the length of the low gray interval range can also be set shorter, or other implementation manners can be used to directly determine the low gray value pixel points located at the vestibular sulcus bottom, which should be understood by those skilled in the art.

[0185] In a specific implementation scenario, or determinably selectable according to the type of the oral instrument, the oral feature data includes dental arch width data, and the original oral data includes at least one of frontal view image data, maxillary upward view image data, and mandibular downward view image data. On this basis, as Figure 4 and Fig.12 shown, the present application further provides a third embodiment of an oral instrument information generation method based on the above-mentioned embodiment, and this third embodiment specifically includes the following steps.

[0186] Step 41, obtain at least one set of original oral data that at least points to the target oral tissue.

[0187] Step 42, analyze the 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. The specific steps of step 42 include:

[0188] Step 421B, traverse all pixel parameters in the original oral data, determine the third tooth position and the fourth tooth position on the first maxillofacial surface, and use the coordinates of the gingival margin midpoint corresponding to the third tooth position as the third coordinate of the third tooth position, and use the coordinates of the gingival margin midpoint corresponding to the fourth tooth position as the fourth coordinate of the fourth tooth position.

[0189] Step 422B, starting from the third coordinate, traverse the pixel parameters in the original oral data in the direction away from the crown of the third tooth position to obtain a third reference point representing the root elevation of the third tooth position and its corresponding third reference coordinates.

[0190] Step 423B, starting from the fourth coordinate, traverse the pixel parameters in the original oral data in the direction away from the crown of the fourth tooth position to obtain a fourth reference point representing the root elevation of the fourth tooth position and its corresponding fourth reference coordinates.

[0191] Step 424B, calculate the dental arch width data in the oral feature data according to the third reference coordinates and the fourth reference coordinates.

[0192] Step 43, according to the target instrument type, determine and traverse in a preset target instrument information library according to the oral feature data to determine the oral instrument information that is closest to the oral feature data in the space dimension.

[0193] Among them, the first maxillofacial region is at least one of the upper jaw or the lower jaw. In this way, the 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 arch width data can be the root eminence, or the vestibular groove with higher importance can be alternatively used as the intraoral tissue for calculating the arch width data. At this time, the overall method process is as follows: According to the target appliance type information with the need for arch width detection, determine the target intraoral tissue as the vestibular groove or the root eminence, and determine the original oral data as the frontal view image data, the upward view image data of the upper jaw, or the downward view image data of the lower jaw; Analyze the arch width data representing the occupancy of the vestibular groove distribution or the root eminence distribution on the original oral data as the oral feature data; Traverse the target appliance information library according to the arch width data to obtain the most matching oral appliance information.

[0194] In this embodiment, the method for determining the third coordinate and the fourth coordinate is similar to that of the first coordinate and the second coordinate. Similarly, the coordinates of the midpoint of the gingival margin at the corresponding tooth position can be used as the coordinates representing the tooth position feature position respectively. In addition, the method for determining the third tooth position and the fourth tooth position, and the criterion for determining whether a pixel point is located on the root eminence, that is, the method for obtaining the third reference coordinate and the fourth reference coordinate, can also be similar to the technical solutions provided above for obtaining 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 elaborated here.

[0195] However, it should be noted that, different from the embodiments provided above, in this embodiment, the traversal direction of traversing the corresponding third reference coordinate and fourth reference coordinate with the third coordinate or the fourth coordinate is not limited to the tooth length extension direction or the dental midline extension direction. The reason is that: on the one hand, the arch width data usually cannot be obtained in the region where the incisor position is located, and in the premolar or molar region, the connection line between the root eminence and the midpoint of the gingival margin of the corresponding tooth position may have an included angle with the dental midline extension direction or the tooth length extension direction. At this time, in an environment with high-precision requirements, when the original oral data is the frontal view image data, it can be set that for the tooth positions on the left side of the maxillofacial region, at least one of the directions between the dental midline extension direction and the direction obtained by clockwise rotating the dental midline extension direction by 15° is used to retrieve the reference coordinates of the corresponding tooth positions; It can be set that for the tooth positions on the right side of the maxillofacial region, at least one of the directions between the dental midline extension direction and the direction obtained by counterclockwise rotating the dental midline extension direction by 15° is used to retrieve the reference coordinates of the corresponding tooth positions. In an environment without high-precision requirements, when the original oral data is the frontal view image data, of course, it can also be similar to the implementation method provided above, starting from the third coordinate or the fourth coordinate, and determining the corresponding reference coordinates along the tooth length extension direction or the dental midline extension direction.

[0196] On the other hand, when the original oral data is maxillary upward view image data or mandibular downward view image data, the extension direction of the tooth length is difficult to determine. At this time, in one embodiment, it is possible to traverse and retrieve in the extension direction of the line connecting the midpoint of the gingival margin and the center point of the occlusal surface, in the direction away from the crown or the center point of the occlusal surface; in another embodiment, it is possible to determine the midpoint of the line connecting 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 view image or the mandibular downward view image as the model reference center point. In this way, it is possible to traverse and retrieve in the extension direction of the line connecting the midpoint of the gingival margin and the model reference center point, in the direction away from the crown or the model reference center point. It should be noted that when the original oral data is maxillary upward view image data or mandibular downward 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 that deviates from the soft palate (or the model reference center point).

[0197] In this third embodiment, as Fig.13 shown, define the extension direction of the central incisor length or the dental midline extension direction as the second direction D2, define the extension direction of the central incisor width as the first direction D1, the third coordinate point as c3, the fourth coordinate point as c4, the third reference coordinate point as p3, and the fourth reference coordinate point as 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, it is possible to directly use 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) directly as the dental arch width data; it is also possible to find the corresponding bottom-of-groove pixel points starting from the third reference coordinate point p3 and the fourth reference coordinate point p4 respectively, and then use the length value or coordinate difference of the projection of the line connecting the bottom-of-groove pixel points in the first direction D1. Of course, under any of the above technical solutions, it is possible to include the two methods of directly calculating by looking up the specified tooth position and screening the maximum value by traversing all tooth positions corresponding to the technical solutions provided above.

[0198] It can be understood that Fig.13 the left figure in is a schematic diagram of the front view image of another oral three-dimensional model, Fig.13 and the right figure in is the engineering drawing or line drawing formed according to this front view image.

[0199] It should be noted 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 elevation, the present application does not exclude calculating the dental arch width data using the position of the vestibular sulcus. Based on this, the step 422B also has a corresponding step 422B': starting from the third coordinate, traversing the gray values of the pixels in the original oral cavity data in the direction away from the crown of the third tooth position, determining the third sulcus bottom pixel point corresponding to the third tooth position and located at the bottom of the vestibular sulcus, and correspondingly obtaining the third sulcus bottom coordinate; the step 423B also has a corresponding step 423B': starting from the fourth coordinate, traversing the gray values of the pixels in the original oral cavity data in the direction away from the crown of the fourth tooth position, determining the fourth sulcus bottom pixel point corresponding to the fourth tooth position and located at the bottom of the vestibular sulcus, and correspondingly obtaining the fourth sulcus bottom coordinate; the step 424B also has a corresponding step 424B': calculating the dental arch width data in the oral cavity feature data according to the third sulcus bottom coordinate and the fourth sulcus bottom coordinate.

[0200] As Figure 4 、 Fig.12 and Fig.14 shown, based on the third embodiment of the above-mentioned oral instrument information generation method, the present application provides a specific example of the third embodiment. 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 be referred to the previous description and will not be elaborated here. However, particularly, a refined implementation manner is provided for the step 424B in the specific example, that is, in this specific example, the step 424A may specifically include the following steps.

[0201] Step 4241B, determining the third sulcus bottom coordinate of the sulcus bottom pixel point located at the bottom of the vestibular sulcus according to the third reference coordinate and the preset sulcus bottom prediction window.

[0202] Step 4242B, determining the fourth sulcus bottom coordinate of the sulcus bottom pixel point located at the bottom of the vestibular sulcus according to the fourth reference coordinate and the preset sulcus bottom prediction window.

[0203] Step 4243B, calculating the dental arch width data in the oral cavity feature data according to the third sulcus bottom coordinate and the fourth sulcus bottom coordinate.

[0204] Wherein, the length of the sulcus bottom prediction window is 0 mm - 2 mm.

[0205] In a specific example of the third embodiment, step 424B is split into two stages, that is, first determine the bottom coordinates of the groove according to the reference coordinates, and then finally determine the arch width data according to the bottom coordinates of the groove. Compared with the embodiment of directly determining the arch width data according to the reference coordinates, it can better fit the characteristics of the bottom of the vestibular groove, and is more in line with the production and manufacturing requirements when the oral device is an oro-facial muscle barrier; compared with the embodiment of directly determining the bottom coordinates of the groove to determine the arch width data, it can prevent missed detection caused by too narrow a range of low gray levels and improve the accuracy of recognition.

[0206] Combined with Fig.13 As shown, the third bottom coordinate point d3 corresponds to the third reference coordinate point p3 and the third coordinate point c3, and the fourth bottom coordinate point d4 corresponds to the fourth reference coordinate point p4 and the fourth coordinate point c4. Based on this, there are also further embodiments such as estimating the maximum width value according to the selected tooth position to characterize the arch width value, or traversing all tooth positions to screen the maximum width value to characterize the arch width value.

[0207] In a preferred embodiment, the third tooth position represents the position of a molar on one side in the dental arch, and the fourth tooth position represents the position of a molar on the other side in the dental arch. Based on this, the step 4243B may specifically include the steps of: calculating the distance between the third bottom coordinate and the fourth bottom coordinate in the first direction to obtain the arch width data. Wherein, the first direction is the width extension direction of the central incisor.

[0208] Using this preferred embodiment, it is possible to analyze only the characteristics at two tooth positions, so as to estimate relatively accurate vestibular sulcus height data. The third tooth position may further be the right distal tooth position, and usually specifically the right second molar, and the fourth tooth position may further be the left distal tooth position, and usually specifically the left second molar. The third tooth position and the fourth tooth position may be both in the upper jaw at the same time, so that the regional part in the frontal view image will be flatter, and the third tooth position and the fourth tooth position may also be both in the lower jaw at the same time, so that the regional part in the frontal view image will be more complete. Of course, for the upper jaw upward view image data, the third tooth position and the fourth tooth position must be both in the upper jaw at the same time, and for the lower jaw downward view image data, the third tooth position and the fourth tooth position must be both in the lower jaw at the same time.

[0209] Of course, in the embodiment of directly determining the third bottom coordinate according to the third coordinate and directly determining the fourth bottom coordinate according to the fourth coordinate, the above characteristics of defining the third tooth position and the fourth tooth position as molars also apply, that is, the step 4243B may also be one of the specific steps of the step 424B'.

[0210] Of course, in another implementation, all tooth positions on the first maxillofacial surface can also be traversed to calculate the dental arch width data. That is, step 4243B may specifically include the following steps as Fig.14 shown below.

[0211] Step 51B: Traverse all tooth positions on the first maxillofacial surface in the original oral data, calculate the corresponding sulcus bottom coordinates respectively, and obtain a first set of sulcus bottom coordinates including the third sulcus bottom coordinate and the fourth sulcus bottom coordinate.

[0212] Step 52B: Calculate the maximum coordinate difference in the first direction according to the first set of sulcus bottom coordinates to obtain the dental arch width data.

[0213] Among them, the first direction is the width extension direction of the central incisor. In this way, the operation accuracy can be further improved. For the specific calculation method, it can be calculated by fitting a distribution curve, or it can be obtained by iteratively traversing all sulcus bottom coordinates symmetric about the dental midline, forming several "point pairs" and then calculating the coordinate differences respectively and finally screening. It should be noted that since step 4243B can be applied to step 424B', steps 51B, 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', which will not be elaborated below.

[0214] Furthermore, in another implementation for calculating the dental arch width data, step 52B may further include a refined implementation step, as Fig.14 shown. Under this refined implementation step, step 52B specifically includes the following steps.

[0215] Step 521B: Fit a first sulcus bottom distribution curve according to the first set of sulcus bottom coordinates, and calculate the coordinate differences in the first direction of the sulcus bottom coordinates symmetric about the dental midline in the first sulcus bottom distribution curve to obtain several sets of dental arch width values.

[0216] Step 522B: Traverse to obtain the set of dental arch width values with the largest value among several sets of dental arch width values, extract and use it as the dental arch width data.

[0217] In this refined implementation step, it is preferably to calculate the dental arch width data by fitting the sulcus bottom distribution curve, so as to enhance the matching degree between the corresponding oral appliance and the oral tissues, and perform interpolation during the fitting process to prevent the problem of inaccurate calculation results caused by the lack of data in the transition section.

[0218] Combined with Fig.15As shown, the first bottom groove distribution curve L1 can be fitted according to the first set of bottom groove coordinates. When it is determined that the first maxillofacial surface is the mandible, the first bottom groove distribution curve L1 corresponds to the lower bottom groove distribution curve Ld described above. At this time, the coordinate difference in the first direction D1 of two bottom groove coordinates that are axisymmetric with respect to the dental midline can be calculated on the first bottom groove distribution curve L1 to represent the dental arch width value, so as to screen out a group with the largest dental arch width value (corresponding to two "dots" in the figure) as the dental arch width data ΔW. In addition, when it is determined that the first maxillofacial surface is the maxilla, the first bottom groove distribution curve L1 corresponds to the upper bottom groove distribution curve Lu described above. At this time, a group of bottom groove coordinate values with the largest dental arch width value can be screened out, which are the third bottom groove coordinate point d3 and the fourth bottom groove 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 bottom groove coordinate point d3 corresponds to the third coordinate point c3, and the fourth bottom groove coordinate point d4 corresponds to the fourth coordinate point c4.

[0219] It can be understood that Fig.15 The left figure in [reference] is a schematic diagram of the front view image of another oral three-dimensional model. Fig.15 The right figure in [reference] is an engineering drawing or line drawing formed according to this front view image.

[0220] For any of the above technical solutions, the original oral data can of course be Fig.16 the upward view image data of the maxilla shown in the left figure in [reference], or Fig.16 the downward view image data of the mandible shown in the right figure in [reference]. For the left figure, the first direction is D1, the second direction is D2, the third coordinate point is c3', which is the midpoint of the gingival margin on the outer side relative to the soft palate corresponding to the third tooth position, and the fourth coordinate point is c4', which is the midpoint of the gingival margin on the outer side relative to the soft palate corresponding to the fourth tooth position. Based on this, by traversing further outward relative to the center point of the occlusal surface or the center point of the model reference, the corresponding third bottom groove coordinate point d3' and the fourth bottom groove coordinate point d4' can be obtained respectively. Further, applying any of the above technical solutions, the dental arch width data ΔW' is finally obtained. Specifically, for the implementation manner of fitting the distribution curve, when observing the oral tissues inside the maxilla from an upward view angle, the incisors may block the corresponding bottom groove pixel points. At this time, the midpoint of the labial surface edge of the tooth crown and the midpoint of the gingival margin can be directly used to replace the corresponding bottom groove pixel points, so as to fit Fig.16 the upper incisor labial surface edge distribution curve ΔLu in [reference], and it jointly forms the first bottom groove distribution curve (corresponding to Fig.15 Lu in [reference]) with other parts of the upper bottom groove distribution curve. Fig.15in L1); It is also possible to skip the pixel points at the bottom of the incisor part groove that cannot be traversed, and directly perform distribution curve fitting based on the bottom coordinate points of the grooves on both sides where the bottom pixel points can be obtained, so as to form an upper distribution curve compensation segment ΔLu' at the incisor part, and further combine it with other parts of the upper bottom distribution curve (corresponding to Fig.15 in Lu) to jointly form the first bottom distribution curve (corresponding to Fig.15 in L1).

[0221] 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 bottom coordinate point d3'' and the fourth bottom coordinate point d4'' can be obtained respectively. Further, applying any of the above technical solutions, the arch width data ΔW'' is finally obtained. For the treatment of the occluded part of the incisors, the distribution curve ΔLd of the labial surface edge of the lower incisors or the lower distribution curve compensation segment ΔLd' can also be fitted, so as to jointly form the first bottom distribution curve (corresponding to Fig.15 in Ld) with other parts of the lower bottom distribution curve (corresponding to Fig.15 in L1).

[0222] In a specific implementation scenario, or according to the type of the oral device that can be selected and determined, the target intraoral tissue includes the vestibular sulcus, the oral characteristic data includes the arch curvature data, and the original oral data includes at least one of the maxillary upward view image data and the mandibular downward view image data. On this basis, as Figure 4 and Fig.17 shown, the present application further provides a fourth embodiment of the oral device information generation method based on the above implementation manner, and this fourth embodiment specifically includes the following steps.

[0223] Step 41, obtain at least one set of original oral data pointing to the target intraoral tissue.

[0224] Step 42, analyze the distribution occupancy of the target intraoral tissue in the inner cavity space dimension according to the original oral data, and obtain at least one set of oral characteristic data. The step 42 specifically includes:

[0225] Step 421C, traverse all pixel parameters in the original oral data, determine all tooth positions located on the first maxillofacial surface, and use the midpoint of the gingival margin corresponding to the tooth position as the starting characteristic point of the tooth position.

[0226] Step 422C, starting from the starting characteristic point, traverse the pixel parameters in the original oral data in the direction away from the tooth crown of the tooth position, determine the low gray value points located at the bottom of the vestibular sulcus, and obtain all bottom pixel points corresponding to all tooth positions.

[0227] Step 423C: Fit the vestibular sulcus bottom distribution curve based on the pixel points at the sulcus bottom, and calculate the radian of the vestibular sulcus bottom distribution curve to obtain the dental arch radian data.

[0228] Step 43: According to the target instrument type, determine and traverse in the preset target instrument information database based on the oral feature data to determine the oral instrument information that is closest to the oral feature data in the spatial dimension.

[0229] Among them, the first maxillofacial region is at least one of the upper jaw or the lower jaw. In this way, the dental arch radian data pointing to a certain intraoral tissue can be selectively analyzed, and the appropriate oral instrument information can be matched accordingly. Among them, the intraoral tissue used to calculate the dental arch radian data can be the root eminence, but preferably the vestibular sulcus, which has a relatively uniform shape. At this time, the overall method process is as follows: According to the target instrument type information with the need for dental arch radian detection, determine the target intraoral tissue as the vestibular sulcus, and determine the original oral data as the upper jaw upward view image data or the lower jaw downward view image data; analyze the dental arch radian data representing the occupancy of the vestibular sulcus distribution on the original oral data as the oral feature data; traverse in the target instrument information database according to the dental arch radian data to obtain the most matching oral instrument information.

[0230] In this embodiment, 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 sulcus bottom can be similar to the technical solutions provided in any of the previous embodiments or examples; in this embodiment, the direction away from the tooth crown during the process of determining the pixel points at the sulcus bottom and the technical solution for fitting the vestibular sulcus bottom distribution curve can be similar to the corresponding part of the technical solution in the second embodiment based on this embodiment provided above. Different from the embodiments provided above, in this embodiment, it is necessary to traverse multiple tooth positions to fit the vestibular sulcus bottom distribution curve, and finally, it is necessary to calculate the radian according to this distribution curve to obtain the dental arch radian data. The dental arch radian data can be the radian value, curvature, radius of curvature, or the distance from each point on the distribution curve to the model reference center point of the overall closest circular arc of the vestibular sulcus bottom distribution curve, or the above parameters for a part of the vestibular sulcus bottom distribution curve. For example, considering that the central incisor part has the largest protrusion amplitude and the second molar part has a greater impact on wearing comfort, only the vestibular sulcus bottom distribution curve corresponding to the central incisor position or the second molar position is collected and fitted to calculate the corresponding dental arch radian data.

[0231] For the above technical solutions, the original oral data can be Fig.18 the upper jaw upward view image data shown in the left figure in Fig.18The mandibular downward-looking image data shown in the right middle figure. For the left figure, the first direction is D1, the second direction is D2, the starting feature point is c, and the sulcus bottom pixel point is d. Thus, the upper sulcus bottom distribution curve Lu in the vestibular sulcus bottom distribution curve obtained by fitting (corresponding to Lu in Fig.15 ). For the sulcus bottom pixel points blocked by the incisors, the problem can also be solved by fitting the labial surface edge distribution curve ΔLu of the upper incisors or forming the upper distribution curve compensation segment ΔLu′, which will not be elaborated here.

[0232] For the right figure, the first direction is D1, the second direction is D2, the starting feature point is c, and the sulcus bottom pixel point is d. Thus, the lower sulcus bottom distribution curve Ld in the vestibular sulcus bottom distribution curve obtained by fitting (corresponding to Ld in Fig.15 ). For the sulcus bottom pixel points blocked by the incisors, the problem can also be solved by fitting the labial surface edge distribution curve ΔLd of the lower incisors or forming the lower distribution curve compensation segment ΔLd′, which will not be elaborated here.

[0233] In a specific implementation scenario, or determinable according to the type of the oral appliance, the target intraoral tissue includes the root eminence, the oral feature data includes the dental arch curvature data, and the original oral data includes at least one of the maxillary upward-looking image data and the mandibular downward-looking image data. On this basis, as Figure 4 and Fig.19 shown, the present application further provides a fifth embodiment of the oral appliance information generation method based on the above-described embodiment. This fifth embodiment specifically includes the following steps.

[0234] Step 41, obtain at least one set of original oral data pointing at least to the target intraoral tissue.

[0235] Step 42, analyze the distribution occupancy of the target intraoral tissue in the inner cavity space dimension according to the original oral data to obtain at least one set of oral feature data. The specific steps of step 42 include:

[0236] Step 421C, traverse all pixel parameters in the original oral data, determine all tooth positions located on the first maxillofacial surface, and use the gingival margin midpoint corresponding to the tooth position as the starting feature point of the tooth position.

[0237] 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 of the tooth position, determine the low gray value points located on the root eminence, and obtain all reference feature points corresponding to all tooth positions.

[0238] Step 423C’, fit the root eminence distribution curve according to the reference feature points, and calculate the curvature of the root eminence distribution curve to obtain the dental arch curvature data.

[0239] Step 43: According to the target instrument type, determine and traverse in the preset target instrument information database based on the oral feature data to determine the oral instrument information that is closest to the oral feature data in the spatial dimension.

[0240] Wherein, the first maxillofacial region is at least one of the upper jaw or the lower jaw. In this way, the dental arch curvature data pointing to the root eminence can be selectively analyzed, and the appropriate oral instrument information can be matched accordingly. Among them, fitting the curve of the root eminence for the upward view image data of the upper jaw or the downward view image of the lower jaw can obtain a more appropriate peripheral curve, which is convenient for manufacturing oral instruments with higher matching degrees. At this time, the overall method process is as follows: According to the target instrument type information with the need for dental arch curvature detection, determine that the target intraoral tissue is the root eminence, and determine that the original oral data is the upward view image data of the upper jaw or the downward view image of the lower jaw; analyze the dental arch curvature data representing the occupancy of the vestibular sulcus distribution on the original oral data as the oral feature data; traverse according to the dental arch curvature data in the target instrument information database to obtain the most matching oral instrument information.

[0241] In this embodiment, the technical solutions for determining the tooth position, determining the starting feature point corresponding to the tooth position, and determining the sulcus bottom pixel points can be similar to the technical solutions provided in any of the previous embodiments or examples; in this embodiment, the direction away from the tooth crown during the process of determining the sulcus bottom pixel points, and the technical solution for fitting the vestibular sulcus bottom distribution curve can be similar to the corresponding part of the technical solution in the second embodiment based on this embodiment provided above. The setting of the number of traversed tooth positions in this embodiment, and the definition of the dental arch curvature data can be similar to the corresponding part of the technical solution in the fourth embodiment based on this embodiment provided above. For the specific shape of the fitted curve, and the special case where the incisor obscures the sulcus bottom pixel points, the fourth embodiment can also be referred to, and details are not described here.

[0242] In a specific implementation scenario, or when it can be selectively selected and determined according to the type of the oral instrument, the target intraoral tissue includes the labial frenum, the oral feature data includes the labial frenum width data, and the original oral data includes the frontal view image data. On this basis, as Figure 4 and Fig. 20 shown, the present application further provides a sixth embodiment of the oral instrument information generation method based on the above embodiment, and this sixth embodiment specifically includes the following steps.

[0243] Step 41: Obtain at least one set of original oral data that at least points to the target intraoral tissue.

[0244] Step 42: According to the original oral data, analyze the occupancy of the target intraoral tissue in the inner cavity space dimension to obtain at least one set of oral feature data. The specific steps of step 42 include:

[0245] Step 421D, traverse all pixel parameters in the frontal view image data, determine the positions of the left central incisor, right central incisor and dental midline on the first maxillofacial region, determine the left boundary line according to the position of the left central incisor, and determine the right boundary line according to the position of the right central incisor.

[0246] Step 422D, traverse the low gray value points in the first frenulum region between the dental midline and the left boundary line, and the low gray value points in the second frenulum region between the dental midline and the right boundary line respectively, and correspondingly obtain the first frenulum coordinate set and the second frenulum coordinate set.

[0247] Step 423D, calculate the labial frenulum width data according to the first frenulum coordinate set and the second frenulum coordinate set.

[0248] Wherein, the first maxillofacial region is at least one of the upper jaw or the lower jaw. In this way, the labial frenulum width data pointing to the labial frenulum can be selectively analyzed, and the appropriate oral instrument information can be matched accordingly. At this time, the overall method process is as follows: according to the target instrument type information with the need for detecting the labial frenulum width, determine the target intraoral tissue as the labial frenulum, and determine the original oral data as the frontal view image data; analyze the labial frenulum width data representing the occupancy of the labial frenulum distribution on the original oral data as the oral feature data; traverse the target instrument information library according to the labial frenulum width data to obtain the most matching oral instrument information.

[0249] In this embodiment, the method for determining the tooth position, especially for judging the positions of the left central incisor and the right central incisor, can be similar to any of the technical solutions provided above, and will not be elaborated here. However, different from the embodiments provided above, since in this embodiment, after the traversal range is delimited according to the positions of the left central incisor and the right central incisor, and the low gray value points are retrieved between the delimited ranges, the traversal direction can no longer be the second direction, the dental midline extension direction, the tooth length extension direction or the direction away from the tooth crown, etc., but preferably 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 from different points on the gingival margin of the corresponding tooth position in the direction away from the tooth crown. And, since the distance of the concave part in the labial frenulum from the incisal edge of the tooth crown of the central incisor position in the direction perpendicular to the maxillofacial region (or, perpendicular to the plane where the labial surface of the central incisor is located) is less than or equal to the distance of the bottom pixel point of the groove from the incisal edge of the tooth crown of the corresponding tooth position in the direction perpendicular to the maxillofacial region (or, perpendicular to the plane where the labial surface of the central incisor is located), therefore, the length of the low gray interval range used to determine the labial frenulum can be set shorter, or the above other embodiments can be used to directly determine the corresponding low gray value points.

[0250] In addition, the process of determining the left boundary line based on the position of the left central incisor can be specifically as follows: retrieve the midpoint of the gingival margin at the position of the left central incisor, and draw a line parallel to the dental midline through this midpoint of the gingival margin to obtain the left boundary line; the process of determining the right boundary line based on the position of the right central incisor can be specifically as follows: retrieve the midpoint of the gingival margin at the position of the right central incisor, and draw a line parallel to the dental midline through this midpoint of the gingival margin to obtain the right boundary line. In other words, the left boundary line is parallel to the dental midline, and the midpoint of the gingival margin at the position of the left central incisor lies on the left boundary line; the right boundary line is parallel to the dental midline, and the midpoint of the gingival margin at the position of the right central incisor lies 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 dental midline can also be replaced with the statement that the boundary line extends along the second direction, and the second direction is the extending direction of the length of the tooth.

[0251] Specifically, as shown in Fig.21 When the first maxillofacial region is the maxilla, according to the FDI tooth position notation, the position of the left central incisor points to the position where tooth No. 21 is located, that is, the maxillary left central incisor position 1121 in the figure, and the position of the right central incisor points to the position where tooth No. 11 is located, that is, the maxillary right central incisor position 1111 in the figure; when the first maxillofacial region is the mandible, the position of the left central incisor points to the position where tooth No. 31 is located, that is, the mandibular left central incisor position 1131 in the figure, and the position of the right central incisor points to the position where tooth No. 41 is located, that is, the mandibular right central incisor position 1141 in the figure.

[0252] Preferably, the area jointly enclosed by the dental midline m0, the left boundary line b1, the gingival margin part on the crown of the left central incisor between the dental midline and the left boundary line, and the edge part on the oral cavity model in the front view image between the dental midline and the left boundary line can be defined as the first frenum area S1; the area jointly enclosed by the dental midline m0, the right boundary line b2, the gingival margin part on the crown of the right central incisor between the dental midline and the right boundary line, and the edge part on the oral cavity model in the front view image between the dental midline and the right boundary line can be defined as the second frenum area S2.

[0253] In this sixth embodiment, when the first maxillofacial region is the maxilla, the dental midline is defined as m0, the left boundary line determined according to the position of the left maxillary central incisor 1121 is b1, and the right boundary line determined according to the position of the right maxillary central incisor 1111 is b2. After traversing the low gray value points in the first frenum region S1 and the second frenum region S2, at least the left upper frenum coordinate point t2 and the right upper frenum coordinate point t1 can be obtained. Furthermore, according to all the frenum coordinate points, a corresponding frenum coordinate set is formed to calculate the labial frenum width data. Correspondingly, when the first maxillofacial region is the mandible, the left lower frenum coordinate point t3 can be determined according to the position of the left mandibular central incisor 1131, and the right lower frenum coordinate point t4 can be determined according to the position of the right mandibular central incisor 1141. Similarly, the labial frenum width data corresponding to the mandibular labial frenum can be calculated. It can be understood that Fig.21 The left figure in Fig.21 is a schematic diagram of the front view image of another oral three-dimensional model,

[0254] In a preferred embodiment, the calculation method of the labial frenum width data in the step 423D can be obtained by fitting a distribution curve. Based on this, the step 423 can specifically include the following steps.

[0255] Step 4231D, according to the first frenum coordinate set and the second frenum coordinate set, respectively fit the first frenum distribution curve and the second frenum distribution curve, and calculate the distance between the first frenum distribution curve and the second frenum distribution curve in the first direction to obtain several groups of frenum width values;

[0256] Step 4232D, traverse to obtain the group of frenum width values with the largest value among the several groups of frenum width values, extract and use it as the labial frenum width data.

[0257] Wherein, the first direction is the width extension direction of the central incisor.

[0258] Continuing to combine Fig.21 As shown, when the first maxillofacial region is the maxilla, the first frenum distribution curve Lt1 can be fitted according to the first frenum coordinate set composed of several left upper frenum coordinate points t2, and the second frenum distribution curve Lt2 can be fitted according to the second frenum coordinate set composed of several right upper frenum coordinate points t1. When the first maxillofacial region is the mandible, the corresponding first frenum distribution curve Lt1' can be fitted according to the first frenum coordinate set composed of several left lower frenum coordinate points t3, and the second frenum distribution curve Lt2' can be fitted according to the second frenum coordinate set composed of several right lower frenum coordinate points t4.

[0259] For selecting the frenulum width value with the largest numerical value in step 4232D as the labial frenulum width data, any of the implementation manners described above can be used for screening and extraction. For example, on the first frenulum distribution curve and the second frenulum distribution curve, frenulum coordinate points with the same position in the extending direction of the dental midline can be respectively extracted to form "point pairs", and then the distances of all "point pairs" along the first direction are calculated, so that the distance with the largest numerical value is used as the labial frenulum width data. Of course, after replacing and implementing other implementation manners provided above, such as line projection, coordinate difference, etc., more other implementation manners can be derived.

[0260] In a specific implementation scenario, or determinably selectable according to the type of the oral cavity instrument, the target intraoral tissue includes the dentomaxilla, the oral cavity feature data includes the maxillofacial protrusion amplitude data, and the original oral cavity data includes at least one of the left view image data and the right view image data. On this basis, as Figure 4 and Fig. 22 shown, the present application further provides a seventh embodiment of an oral cavity instrument information generation method based on the above implementation manner, and this seventh embodiment specifically includes the following steps.

[0261] Step 41, obtain at least one set of original oral cavity data at least pointing to the target intraoral tissue.

[0262] Step 42, analyze the distribution occupancy of the target intraoral tissue in the inner cavity space dimension according to the original oral cavity data to obtain at least one set of oral cavity feature data. The step 42 specifically includes:

[0263] Step 421E, traverse all pixel parameters in the original oral cavity data, determine the first incisor located in the upper jaw and the second incisor located in the lower jaw, and fit the maxillofacial protrusion curve jointly formed by the first incisor and the second incisor according to the boundary low gray value points of the first incisor and the second incisor.

[0264] Step 422E, calculate the radian of the maxillofacial protrusion curve to obtain the maxillofacial protrusion amplitude data.

[0265] Step 43, determine according to the target instrument type and traverse in a preset target instrument information library, and determine the oral cavity instrument information that is closest to the oral cavity feature data in the space dimension.

[0266] In this way, it is possible to selectively analyze the data on the protrusion amplitude of the dental-maxillofacial region and match the appropriate oral instrument information accordingly. At this time, the overall method process is as follows: According to the target instrument type information with the need for detecting the protrusion amplitude of the dental-maxillofacial region, determine the target intraoral tissue as the dental-maxillofacial region, and determine the original oral data as the left-view image data or the right-view image data; Analyze the original oral data to obtain the dental-maxillofacial protrusion amplitude data representing the occupancy of the dental-maxillofacial region distribution as oral feature data; Traverse the target instrument information database based on the dental-maxillofacial protrusion amplitude data to obtain the most matching oral instrument information.

[0267] In this embodiment, the technical solutions for determining the tooth position, determining the starting feature points corresponding to the tooth position, and determining the bottom pixel points of the groove can be similar to the technical solutions provided in any of the previous embodiments or implementation manners. Different from the embodiments provided above, in this embodiment, instead of finding the positions of other corresponding intraoral tissues according to the tooth position feature position coordinates, the crown where the tooth position is located is directly used as the target for extracting the boundary features. For Fig.23 Regarding the left-view image data in the left figure, it records the structures of the left side of the dental arch and other related intraoral tissues. For Fig.23 Regarding the right-view image data in the right figure, it records the structures of the right side of the dental arch and other related intraoral tissues. Based on this, the low gray value point closest to the left side of the image in 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 amplitude of the left side of the maxillofacial region; and the low gray value point closest to the right side of the image in 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 amplitude of the right side of the maxillofacial region.

[0268] The first incisor preferably can be the maxillary central incisor, that is, the tooth pointed to by the seventh tooth position counted from the distal tooth position (usually the mandibular second molar), and the second tooth position preferably can be the mandibular central incisor, that is, the seventh tooth position counted from the distal tooth position (usually the mandibular second molar). Based on this, not only can the boundary points of the first incisor and the second incisor be determined by judging the gray value, but also the boundary points can be determined based on the convex hull range formed by the crowns of the incisors. Of course, in special cases such as maxillofacial deformities or the emergence of wisdom teeth (also known as the third molars), the situation of the crown closest to the lip side on the maxillofacial region can also be obtained completely by relying on the analysis of the gray value.

[0269] For Fig.23 Regarding the left figure, the first incisor can be the tooth closer to the left side of the image among the maxillary left central incisor position 1121 and the maxillary left lateral incisor position 1122, and the second incisor can be the tooth closer to the left side of the image among the mandibular left central incisor position 1131 and the mandibular left lateral 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. For Fig.23 For the right middle 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 lateral 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 lateral incisor position 1142. On the first incisor and the second incisor, a number of boundary low gray value points e1 can be determined, so as to fit and obtain the maxillofacial protrusion curve Le1. Among them, the maxillofacial protrusion curve Le1 or Le2 can be a curve that strictly fits the tooth crown as shown in the figure, or a curve approximately in the shape of an arc generated by rough fitting.

[0270] The maxillofacial protrusion amplitude data can be the radian, curvature or radius of curvature of the whole or part of the maxillofacial protrusion curve. In a special implementation manner, it can 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 pixel point at the bottom of the upper groove, or the center point of the occlusal surface of the mandibular second molar, the midpoint of the gingival margin or the corresponding pixel point at the bottom of the lower groove). Among them, the point closest to the boundary can be defined at the position level in the image as the low gray value point closest to the left side in the left view image, and / or the low gray value point closest to the right side in the right view image; at 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 at the upper left corner of the image and the positive direction of the x axis is to the right.

[0271] As Fig.24 shown, the present application further provides an eighth embodiment of a method for generating oral instrument information, and this eighth embodiment specifically includes the following steps.

[0272] Step 41, obtain at least one set of original oral data at least pointing to the target oral tissue.

[0273] Step 42, analyze the 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.

[0274] Step 43, according to the target instrument type, determine and traverse in the preset target instrument information library according to the oral feature data to determine the oral instrument information that is closest to the oral feature data in the space dimension. The specific steps of step 43 include:

[0275] Step 431, set weights for different types of data in the oral feature data according to the preset weighting rule, and calculate the weighted feature data;

[0276] Step 432: According to the target instrument type, determine and traverse upward at the spatial dimension level in the preset target instrument information library based on the weighted feature data, and determine the oral instrument information that is closest to the oral feature data in the spatial dimension.

[0277] In this way, according to the weighted rule, the matching of oral instrument information can be more focused. Corresponding to different target instrument types, the preset weighted rules can also be different. For example, for orthodontic appliances or retainers, the maxillofacial protrusion amplitude data and other crown features are more important during preparation, and greater weights should be assigned to them; for another example, for oral and facial muscle barriers, the vestibular sulcus height data, dental arch width data, or dental arch curvature data are more important during preparation, and greater weights should be assigned to them.

[0278] Preferably, the oral feature data includes the vestibular sulcus height data and the dental arch curvature data, and the weighted rule sets the weight of the vestibular sulcus height data to be greater than the weight of the dental arch curvature data. For example, the weight of the vestibular sulcus 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 ensured that the oral instrument will not protrude excessively towards the vestibular sulcus side. It should be noted here that both the dental arch curvature data and the dental arch width data are data reflecting the dentition in the occlusal plane dimension. Therefore, the above dental arch curvature data can also be replaced with the dental arch width data.

[0279] As a preference, the oral feature data further includes the 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 into account the maxillofacial protrusion amplitude, it will not overly affect the matching of oral instrument information and blur the focus. It can be understood that the oral feature data can further include the labial frenum width data, and the weighted rule sets the weight of the maxillofacial protrusion amplitude data to be greater than the weight of the labial frenum width data.

[0280] Based on any of the above embodiments, examples or specific instances, for step 43 and its derivative steps, different specific embodiments and combinations thereof will be generated according to the different data requirements of the oral instrument. For example, in an application scenario, the oral feature data includes at least one of dental arch width data, vestibular sulcus height data, labial frenum width data, maxillofacial protrusion amplitude data, and dental arch curvature data. On the one hand, the above different oral feature data can be calculated according to any of the technical solutions provided above, that is, for different embodiments and combinations of step 43, they correspond to different embodiments and combinations of steps 41 and 42. On the other hand, for the above different oral feature data, there are also differences in the comparison and determination of the spatial dimension in step 43. Specifically, in a specific embodiment, step 43 may specifically include the following refinement steps that are independent of each other or can be combined.

[0281] Step 43A: According to the target instrument type, determine and traverse all instrument information in the preset instrument information library whose values of the corresponding indicators are greater than the dental arch width data, and determine the oral instrument information that is closest to the corresponding oral feature data in the spatial dimension.

[0282] Step 43B: According to the target instrument type, determine and traverse all instrument information in the preset instrument information library whose values of the corresponding indicators are greater than the vestibular sulcus height data, and determine the oral instrument information that is closest to the corresponding oral feature data in the spatial dimension.

[0283] Step 43C: According to the target instrument type, determine and traverse all instrument information in the preset instrument information library whose values of the corresponding indicators are greater than the labial frenum width data, and determine the oral instrument information that is closest to the corresponding oral feature data in the spatial dimension.

[0284] Step 43D: According to the target instrument type, determine and traverse all instrument information in the preset instrument information library whose values of the corresponding indicators 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.

[0285] Step 43E: According to the target instrument type, determine and traverse all instrument information in the preset instrument information library whose values of the corresponding indicators are less than the dental arch curvature data, and determine the oral instrument information that is closest to the corresponding oral feature data in the spatial dimension.

[0286] In this way, the obtained oral instrument information will not interfere with the crown, root elevation or bottom of the vestibular sulcus of the distal tooth position in terms of the arch width, and is sufficient to meet the requirement in the previous text that the spacing difference is greater than or equal to 3 mm; at the level of the height of the vestibular sulcus, it can be in full contact with the vestibular sulcus to improve the effect of orofacial muscle training; at the level of the width of the labial frenum, it can avoid compressing the labial frenum; at the level of the arch curvature of the dental arch, it can avoid excessive squeezing of the dental arch and related soft tissues.

[0287] For the above-mentioned refinement steps or combinations between refinement steps, the same or different schemes can also be applied to implement them during the process of realizing traversal screening. For example, when it is necessary to traverse all the instrument information with larger corresponding index values, the ceiling method can be adopted; when it is necessary to traverse all the instrument information with smaller corresponding index values, the floor method can be adopted. Specifically, for the steps 43A, 43B, 43C and 43D, the following further refined steps can be included.

[0288] Step 430A, traverse all the instrument feature data with corresponding index values greater than the arch width data by using the ceiling method.

[0289] Step 430B, traverse all the instrument feature data with corresponding index values greater than the vestibular sulcus height data by using the ceiling method.

[0290] Step 430C, traverse all the instrument feature data with corresponding index values greater than the labial frenum width data by using the ceiling method.

[0291] Step 430D, traverse all the instrument feature data with corresponding index values greater than the maxillofacial protrusion amplitude data by using the ceiling method.

[0292] Step 4301, determine the instrument feature data that is numerically closest to the corresponding oral feature data, and determine the oral instrument information according to the instrument feature data.

[0293] For the step 43E, the following further refined steps can be included.

[0294] Step 430E, traverse all the instrument feature data with corresponding index values greater than the arch curvature data of the dental arch by using the floor method.

[0295] Step 4301, determine the instrument feature data that is numerically closest to the corresponding oral feature data, and determine the oral instrument information according to the instrument feature data.

[0296] By using the ceiling method or the floor method, it is possible to better adapt to the size models of existing oral instruments and also slow down the demand for the amount of data in the instrument information database. For the ceiling method, for example, in the instrument information database, there is stored oral instrument information B for oral feature data A of 30 mm and oral instrument information b for oral feature data A of 31 mm. If the actual oral feature data A obtained through calculation is 30.2 mm, then the data of 30.2 mm can be processed using the ceiling method, so as to match the oral instrument information b for oral feature data A of 31 mm. Correspondingly, the data of 30.2 mm can be processed using the floor method, so as to match the oral instrument information for oral feature data A of 30 mm. Understandably, the main purpose of the above configuration of different rounding methods for different oral feature data is to improve the wearing comfort level or reduce the wear of the model. Based on this, those skilled in the art can think of technical solutions of using other rounding methods or traversal methods for other oral feature data, and all can be considered to be generated under the inspiration of the technical solutions provided in this application.

[0297] Preferably, the oral instrument information includes at least one of oro-facial muscle trainer information, mouth breathing corrector information, and invisible orthodontic appliance information. The invisible orthodontic appliance may be the invisible orthodontic appliance with a tongue guide disclosed in the utility model patent No. CN213098442U.

[0298] Preferably, the step of "traversing according to the oral feature data in a preset target instrument information database to determine the oral instrument information that is closest to the oral feature data in the spatial dimension" may specifically include: receiving and determining the oral instrument information according to at least one of target personal information and clinical diagnosis information, and the oral feature data.

[0299] Among them, the target personal information includes at least one of age and gender, and the clinical diagnosis information includes a first oro-facial muscle group training deficiency marker.

[0300] For example, in one case, the target personal information and / or clinical diagnosis information can be used for local fine-tuning of the oral instrument information. In other words, the local information in the oral instrument information is determined in a refined manner. For example, when the clinical diagnosis information contains a "lip muscle training deficiency" marker, based on this, on the basis of the oral feature data, the thickness of the oral instrument information pointing to the anterior tooth area can be increased, so as to improve the treatment effect of the instrument.

[0301] In another case, comfort adjustments can be made using the target personal information and / or clinical diagnosis information. For example, when the target personal information includes age information of "5 years old", based on this, on the basis of the oral feature data, the area of the oral appliance information pointing to the outer contour area of the appliance can be reduced to prevent the outer contour edge from interfering with the labial surface and affecting the wearing comfort. Another example is that based on the age information of "5 years old", on the basis of the oral feature data, the material softness in the oral appliance information can be adjusted, and the oral appliance information including the material information with higher softness can be selected.

[0302] As Fig.25 shown, another embodiment of the present application provides a method for generating oral appliance information. The application program or instruction corresponding to this method can be loaded on the above storage medium and / or the above oral appliance information generation system 300 to achieve the technical effect of generating oral appliance information. The method for generating oral appliance information may specifically include the following steps.

[0303] Step 61, obtain at least one set of original oral data pointing to at least the target oral tissue.

[0304] Step 62, analyze the distribution 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.

[0305] Step 63, traverse in the preset multiple sets of appliance information libraries according to the oral feature data respectively, and determine multiple sets of oral appliance information that are closest to the oral feature data in the space dimension.

[0306] Among them, the multiple sets of appliance information libraries store the oral appliance information corresponding to various types of oral appliances. In this way, taking the target oral tissue information as input, multiple oral appliance information that matches the oral feature data of the oral tissue information can be retrieved in multiple appliance information libraries, thereby providing more diverse choices for users or medical workers.

[0307] For example, when the vestibular sulcus is input as the target oral tissue information, the vestibular sulcus height data can be extracted as the oral feature data corresponding to the original oral data. Thus, in the first appliance information library pointing to the oral facial muscle barrier and the second appliance information library pointing to the orthodontic appliance, the first oral appliance information and the second oral appliance information can be retrieved respectively for output and selection by the user.

[0308] For this embodiment, for the refined technical solutions of steps 61, 62, and 63, at least part of the technical solutions of steps 41, 42, and 43 described above can be respectively applied. Correspondingly, multiple embodiments, specific examples, refined steps, or preferred solutions of this embodiment are formed.

[0309] For example, as Fig.25 shown, the present application further provides a first embodiment of a method for generating oral instrument information corresponding to this other embodiment. In this embodiment, the oral feature data includes at least one of dental arch width data, vestibular sulcus height data, labial frenum width data, maxillofacial protrusion amplitude data, and dental arch curvature data. Specifically, this embodiment specifically includes the following steps.

[0310] Step 61, obtain at least one set of original oral data that at least points to the target oral tissue.

[0311] Step 62, analyze the occupancy of the target oral tissue in the lumen space dimension according to the original oral data, and obtain at least one set of oral feature data.

[0312] Step 63, in a preset multiple sets of instrument information libraries, traverse respectively according to the oral feature data, and determine multiple sets of oral instrument information that is closest to the oral feature data in the space dimension. The specific steps of step 63 include:

[0313] Step 630, in a preset multiple sets of instrument information libraries, traverse all instrument information with values greater than the dental arch width data and / or vestibular sulcus height data and / or labial frenum width data and / or maxillofacial protrusion amplitude data in the corresponding indicators, and / or traverse all instrument information with values less than the dental arch curvature data in the corresponding indicators, and determine the multiple sets of oral instrument information that is closest to the corresponding oral feature data in the space dimension and corresponds to the multiple sets of instrument information libraries.

[0314] In this way, a refined step 63 is provided. To correspond to different oral feature data, different traversal methods are used to determine oral instrument information with better matching effects.

[0315] It should be noted that whether for the above steps 41 to 43 and their derivative steps, or for the above steps 61 to 63 and their derivative steps, the present application provides different levels of refined embodiments in a total of five levels of dental arch width data, vestibular sulcus height data, labial frenum width data, maxillofacial protrusion amplitude data, and dental arch curvature data. Among the multiple embodiments provided by the present application, they are not necessarily independent of each other. Specifically, a single embodiment can draw on some content of other embodiments to improve the technical solution of this embodiment. For example, for the dental arch width data, the vestibular 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 eminence; multiple embodiments can also be combined with each other to form a more complete and comprehensive embodiment. For example, at least the above five levels can be integrated into a complete embodiment, so as to obtain better oral instrument information by matching in five or more dimensions.

[0316] An embodiment of the present application provides a method for forming an oral device. The corresponding application program or instructions of this method can be carried on the above storage medium, or can be carried on other storage media independent of the above storage medium. And the corresponding application program or instructions of this method can also be integrated in the above oral device information generation system. Of course, it can also be carried on a new oral device forming system to achieve the technical effect of forming an oral device. Based on this, on the one hand, the present application can provide or those skilled in the art can form the corresponding storage medium and oral device forming system according to the oral device forming method provided by the present application; on the other hand, the oral device forming method provided by the present application may specifically include the steps of: executing an oral device information generation method to obtain oral device information; generating an oral device according to the oral device information.

[0317] It should be noted that although it was mentioned in the description of the oral device above that the oral device is constructed based on the oral device information generated by the oral device information generation method provided by the present application, it can be understood that after the present application proposes this oral device forming method, the oral device can of course also be constructed according to this oral device forming method.

[0318] Preferably, for the step of "executing an oral device information generation method to obtain oral device information", the oral device information generation method provided by any of the technical solutions described herein can be further used to implement it. For example, as Fig.26 shown, the oral device forming method provided by the present application may include the following steps.

[0319] Step 41, obtain at least one set of original oral data pointing to at least the target intraoral tissue.

[0320] Step 42, analyze the occupancy of the target intraoral tissue in the inner cavity space dimension according to the original oral data to obtain at least one set of oral feature data.

[0321] Step 43, according to the target device type, determine and traverse in 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 space dimension.

[0322] Step 70, generate an oral device according to the oral device information.

[0323] In this way, the finally constructed oral device has better fit and usability. On the one hand, the specific steps of steps 41 to 43 can be referred to the description above and will not be elaborated 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 devices according to multiple sets of oral device information.

[0324] Continue as Fig.26 As shown, based on the oral instrument forming method provided in this embodiment, the present application further provides an example. Other parts in this example are the same as those in the previous embodiment. For the specific features, explanations, and corresponding technical effects in the steps, reference can be made to the previous description, which will not be elaborated here. In particular, this example provides a refined implementation for step 70, which specifically includes the following steps.

[0325] Step 71: Generate and output an oral instrument document according to the oral instrument information.

[0326] Step 72: Receive and generate an oral instrument according to the oral instrument document.

[0327] Preferably, before generating the oral instrument, the oral instrument document can also be sent to the medical system side for medical workers to confirm, and after confirmation, it is sent to the manufacturer management system for subsequent oral instrument generation steps.

[0328] In summary, the oral instrument information generation method provided by the present application collects and specifically extracts each feature inside the oral cavity, and first retrieves in the pre-established target instrument information library according to the obtained oral cavity feature data. Thus, according to the matching situation between the oral cavity feature data and the data in the target instrument information library, the oral instrument information that conforms to the target instrument type and corresponds to the internal features of the oral cavity is determined; the entire process specifically generates the corresponding oral instrument information according to the target instrument type and oral cavity feature data, which can not only match the most suitable oral instrument information according to the actual situation of the patient's oral tissue, avoid problems such as errors and increased costs caused by manual intervention, and achieve full-process automation, but also select or selectively obtain the necessary original feature data according to the requirements of the target instrument type, so as to specifically complete the conversion and feature extraction steps, thereby simplifying the operation logic, improving the operation speed, and quickly generating the oral instrument information actually required by medical workers and manufacturers.

[0329] It should be understood that although this specification is described according to embodiments, not every embodiment only contains an independent technical solution. This narrative way of the specification is only for clarity. Those skilled in the art should regard the specification as a whole, and the technical solutions in each embodiment can also be appropriately combined to form other embodiments that can be understood by those skilled in the art.

[0330] The series of detailed descriptions listed above are only specific descriptions of the feasible embodiments of the present application, and they are not used to limit the protection scope of the present application. Any equivalent embodiments or changes made without departing from the technical spirit of the present application should be included in the protection scope of the present application.

Claims

1. A method for generating oral instrument information, characterized in that, it includes: Determine the target intraoral tissue according to the target instrument type information, According to the target intraoral tissue, obtain at least one set of original oral data that at least points to the target intraoral tissue, According to the original oral data, analyze the distribution and / or occupancy of the target intraoral tissue in the lumen space dimension to obtain at least one set of oral feature data, According to the target instrument type, retrieve in the target instrument information library according to the oral feature data, and determine the oral instrument information that is closest to the oral feature data in the space dimension.

2. The method for generating oral instrument information according to claim 1, characterized in that, it includes: When the first information is incomplete, obtain the second information corresponding to the first information. The original oral data is determined according to the first information. The first information and the second information are information representing the internal oral tissue structure, According to the second information, refit the characteristics of the target intraoral tissue, According to the refitted characteristics of the target intraoral tissue, determine at least one set of original oral data that points to the target intraoral tissue.

3. The method for generating oral instrument information according to claim 2, characterized in that, The first information and the second information satisfy at least one of the following: The first information is determined according to the oral three-dimensional model, and the second information is determined according to the intraoral image; The first information is determined according to the intraoral image, and the second information is determined according to the oral three-dimensional model.

4. The method for generating oral instrument information according to claim 2 or 3, characterized in that, it includes: Input the first information into a preset region recognition neural network model, and determine the edge feature data corresponding to the target intraoral tissue as at least part of the original oral data.

5. The method for generating oral instrument information according to claim 1, characterized in that, it includes: According to the original oral data, determine the position feature points of the first tooth position in the upper jaw and the position feature points of the second tooth position in the lower jaw, According to the position feature points of the first tooth position, retrieve the parameters of the points on the crown of the tooth that are in the second direction away from the first tooth position in the original oral data, determine the upper sulcus bottom pixel points located at the bottom of the upper vestibular sulcus, and correspondingly obtain the first sulcus bottom coordinates, According to the position feature points of the second tooth position, retrieve the parameters of the points on the crown of the tooth that are in the second direction away from the second tooth position in the original oral data, determine the lower sulcus bottom pixel points located at the bottom of the lower vestibular sulcus, and correspondingly obtain the second sulcus bottom coordinates, According to the first sulcus bottom coordinates and the second sulcus bottom coordinates, calculate the vestibular sulcus height data representing the occupancy of the vestibular sulcus.

6. The method for generating oral instrument information according to claim 5, characterized in that, The first tooth position represents the position where the central incisor is located, the second tooth position represents the position where the lateral incisor is located, and the vestibular sulcus height data is determined according to the distance between the first sulcus bottom coordinates and the second sulcus bottom coordinates in the extension direction of the dental midline.

7. The method for generating oral instrument information according to claim 5, characterized in that, it includes: Based on the position feature points of the tooth positions located in the maxilla and the position feature points of the tooth positions located in the mandible in the original oral data, determine the distance information in the second direction or the tooth midline extension direction. Based on the distance information in the second direction or the tooth midline extension direction, determine the vestibular sulcus height data.

8. The method for generating oral instrument information according to claim 5, wherein, comprising: Based on the position feature points of the tooth positions, determine the positions of the reference points of the root eminences corresponding to the tooth positions; Based on the positions of the reference points and the preset sulcus bottom prediction window, determine the sulcus bottom coordinates corresponding to the tooth positions.

9. The method for generating oral instrument information according to claim 1, wherein, comprising: Based on the original oral data, determine the position feature points of the third tooth position and the fourth tooth position located on the first dental arch surface, where the first dental arch surface is at least one of the maxilla or the mandible, Based on the position feature points of the third tooth position, retrieve the parameters of the points in the original oral data that are located away from the crown of the third tooth position, and determine the third coordinates of the vestibular sulcus bottom or the root eminence corresponding to the third tooth position, Based on the position feature points of the fourth tooth position, retrieve the parameters of the points in the original oral data that are located away from the crown of the fourth tooth position, and determine the fourth coordinates of the vestibular sulcus bottom or the root eminence corresponding to the fourth tooth position, Based on the third coordinates and the fourth coordinates, calculate the dental arch width data representing the occupancy of the target intraoral tissue; The third coordinates and the fourth coordinates are configured according to at least one of the following: The third coordinates are determined according to the position of the vestibular sulcus bottom corresponding to the third tooth position, and the fourth coordinates are determined according to the position of the vestibular sulcus bottom corresponding to the fourth tooth position; The third coordinates are determined according to the position of the root eminence corresponding to the third tooth position, and the fourth coordinates are determined according to the position of the root eminence corresponding to the fourth tooth position.

10. The method for generating oral instrument information according to claim 9, wherein, the third tooth position represents the position of one side of the molars in the dental arch, the fourth tooth position represents the position of the molars on the other side in the dental arch, and the dental arch width data is determined according to the distance between the third coordinates and the fourth coordinates in the width direction of the central incisors.

11. The method for generating oral instrument information according to claim 9, wherein, comprising: Based on the position feature points of the tooth positions located on the first dental arch surface in the original oral data, determine the coordinate difference information in the first direction, where the first direction is the width extension direction of the central incisors, Based on the coordinate difference information in the first direction, determine the dental arch width data.

12. The method for generating oral instrument information according to claim 1, wherein, comprising: Based on the original oral data, determine the position feature points of the tooth positions located on the first dental arch surface, where the first dental arch surface is at least one of the maxilla or the mandible, Based on the position feature points of the tooth positions on the first dental arch surface, retrieve the parameters of the points in the original oral data that are located away from the crowns of the tooth positions, and determine the low gray value points corresponding to the first dental arch surface, Based on the low gray value points, fit the distribution curve and calculate the dental arch curvature data representing the occupancy of the target intraoral tissue, The distribution curve is the distribution curve of the vestibular sulcus bottom or the distribution curve of the root eminence.

13. The method for generating oral instrument information according to claim 1, characterized in that, it includes: According to the original oral data, determine the left central incisor position, right central incisor position and dental midline on the first maxillofacial 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, where the first maxillofacial surface is at least one of the upper jaw or the lower jaw, According to the dental midline, the left boundary line and the right boundary line, determine the low gray value points in the first frenum area and the second frenum area, According to the low gray value points in the first frenum area and the second frenum area, calculate the labial frenum width data representing the occupancy of the labial frenum.

14. The method for generating oral instrument information according to claim 13, characterized in that, it includes: According to the low gray value points in the first frenum area and the low gray value points in the second frenum area, determine the distance information in the first direction, where the first direction is the width extension direction of the central incisor, According to the distance information in the first direction, determine the labial frenum width data.

15. The method for generating oral instrument information according to claim 1, characterized in that, it includes: According to the original oral data, determine the boundary low gray value points of the first incisor in the upper jaw and the second incisor in the lower jaw, and fit the maxillofacial protrusion curve formed by the first incisor and the second incisor together, Calculate the radian of the maxillofacial protrusion curve to obtain the maxillofacial protrusion amplitude data representing the occupancy of the dental maxillofacial region.

16. The method for generating oral instrument information according to claim 1, characterized in that, it includes: Set weights for different types of data in the oral feature data and calculate the weighted feature data, According to the target instrument type, determine and in the preset target instrument information library, retrieve upward at the spatial dimension level based on the weighted feature data, and determine the oral instrument information that is closest to the oral feature data in the spatial dimension; The weights for different types of data are set according to at least one of the following: The weight of the vestibular sulcus height data is greater than the weight of the dental arch curvature data; The weight of the dental arch curvature data is greater than the weight of the maxillofacial protrusion amplitude data.

17. The method for generating oral instrument information according to claim 1, characterized in that, it includes at least one of the following: The oral instrument information includes at least one of oral facial muscle trainer information, mouth breathing corrector information and invisible orthodontic appliance information; The oral feature data is determined according to the gray value of the points in the original oral data.

18. An oral instrument information generation system, characterized in that, it includes a processor, a memory and a communication bus, and the processor and the memory complete communication 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 method for generating oral instrument information according to any one of claims 1-17 when executing the application program stored on the memory.

19. A storage medium, on which an application program is stored, characterized in that, when the application program is executed, it implements the steps of the method for generating oral instrument information according to any one of claims 1-17.

20. An oral instrument, characterized in that, configured to be constructed based on oral appliance information, the oral appliance information being generated according to the oral appliance information generation method according to any one of claims 1-17; the oral appliance is configured according to at least one of the following: the oral appliance is used for training orofacial muscle function and / or for treating mouth breathing; the oral appliance includes a left end portion and a right end portion, and the original oral data includes a corresponding left distal root eminence and a right distal root eminence respectively; the difference between the distance between the left end portion and the right end portion and the distance between the left distal root eminence and the right distal root eminence is greater than or equal to 3 mm.

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