Dental design methods, apparatus, equipment and computer-readable storage media

Abstract

This invention discloses a method, apparatus, device, and computer-readable storage medium for designing dentures. The denture design method includes: acquiring dental model data of a patient's oral cavity; identifying residual teeth in the patient's oral cavity based on the dental model data; selecting a target template tooth matching the residual teeth from a preset template library and generating the gingiva corresponding to the target template tooth; and generating a target denture based on the target template tooth and the gingiva. This application shortens the denture design process time when tooth roots or crowns remain in the patient's oral cavity.

Description

Technical Field

[0001] This invention relates to the field of medical devices, and more particularly to a method, apparatus, device, and computer-readable storage medium for designing dentures. Background Technology

[0002] Designing dentures is one of the most basic operations in prosthodontics. Currently, when patients have residual tooth roots or crowns in their mouths but lack occlusal conditions and need dentures, denture designers design them manually based on their own experience. This requires denture designers to have extensive clinical experience, and there may be errors in the process, which require manual correction later, making the entire denture design process time-consuming. Summary of the Invention

[0003] The main objective of this invention is to provide a method, apparatus, device, and computer-readable storage medium for designing dentures, aiming to solve the technical problem of long denture design processes when there are residual tooth roots or crowns in the patient's oral cavity.

[0004] To achieve the above objectives, the present invention provides a method for denture design, comprising the following steps:

[0005] Acquire dental and jaw model data from the patient's oral cavity, and identify residual teeth in the patient's oral cavity based on the dental and jaw model data;

[0006] Select a target template tooth that matches the remaining tooth from a preset template library, and generate the gingiva corresponding to the target template tooth;

[0007] The target denture is generated based on the target template tooth and the gum.

[0008] Optionally, the step of selecting a target template tooth that matches the residual tooth from a preset template library includes:

[0009] Select a set of template teeth that match the remaining tooth from a preset template library, wherein the preset template library includes at least one set of template teeth;

[0010] Detect whether the template teeth meet the preset collision conditions;

[0011] If the template teeth do not meet the preset collision conditions, adjust the template teeth until the template teeth meet the preset collision conditions;

[0012] If the template tooth meets the preset collision conditions, the template tooth that meets the preset collision conditions will be used as the target template tooth.

[0013] Optionally, the step of detecting whether the template teeth meet the preset collision qualification conditions includes:

[0014] Determine the target collision depth between the residual tooth and the template tooth, and detect whether the target collision depth matches the preset qualified collision depth;

[0015] If the target collision depth matches the preset qualified collision depth, then the template tooth is determined to meet the preset collision condition.

[0016] Optionally, the step of determining the target collision depth between the residual tooth and the template tooth includes:

[0017] Determine the position of the remaining tooth in the template tooth;

[0018] Determine the adjacent template tooth and the opposing template tooth corresponding to the residual tooth at the tooth position;

[0019] Determine the collision depth between the residual tooth and the adjacent template tooth, and determine the collision depth between the residual tooth and the opposing template tooth;

[0020] The adjacent collision depth and the opposing collision depth are used as the target collision depth.

[0021] Optionally, the step of generating the gingiva corresponding to the target template tooth includes:

[0022] The dentition model data is obtained by repairing the dentition model data using a preset repair method, wherein the preset repair method includes one or more of shaping, trimming, and filling.

[0023] The gingiva corresponding to the target template tooth is generated based on the edentulous jaw model data.

[0024] Optionally, the step of generating the gingiva corresponding to the target template tooth based on the edentulous jaw model data includes:

[0025] Identify the cervical margin line of the target template tooth and extract the dental arch line from the edentulous jaw model data;

[0026] The cervical margin line and the dental arch line are input into a pre-trained undercut-free model for training, and the gingiva corresponding to the target template tooth is output.

[0027] Optionally, the step of generating the target denture based on the target template tooth and the gingiva includes:

[0028] Determine the type of restoration for the target template tooth, wherein the type of restoration includes at least one of dentures and dental bridges;

[0029] After the restoration type is denture, the target template tooth and the gingiva are processed using the processing method corresponding to the denture to obtain the target prosthesis;

[0030] After the restoration type is dental bridge, the target template tooth and the gingiva are processed using the processing method corresponding to the dental bridge to obtain the target denture.

[0031] Furthermore, to achieve the above objectives, the present invention also provides a denture design device, comprising:

[0032] The acquisition module is used to acquire dental and jaw model data in the patient's oral cavity and identify residual teeth in the patient's oral cavity based on the dental and jaw model data;

[0033] The matching module is used to select a target template tooth that matches the residual tooth from a preset template library and generate the gingiva corresponding to the target template tooth;

[0034] A generation module is used to generate a target denture based on the target template tooth and the gum.

[0035] In addition, to achieve the above objectives, the present invention also provides a denture design device, comprising: a memory, a processor, and a denture design program stored in the memory and executable on the processor, wherein the denture design program, when executed by the processor, implements the steps of the denture design method as described above.

[0036] In addition, to achieve the above objectives, the present invention also provides a computer-readable storage medium storing a denture design program, which, when executed by a processor, implements the steps of the denture design method as described above.

[0037] This application identifies residual teeth in a patient's mouth using dental model data, selects a target tooth matching the residual tooth from a pre-set template library, and automatically generates the gingiva of the target template tooth. Based on the target template tooth and gingiva, a target prosthesis is automatically generated, completing the design of a prosthesis when there are residual teeth with roots or crowns in the patient's mouth. This overcomes the technical shortcomings of existing technologies that use manual prosthesis design when there are residual teeth with roots or crowns in the patient's mouth. Due to the possibility of errors by the dental designer during the operation, manual correction is required later, resulting in a long prosthesis design process. When there are residual teeth with roots or crowns in the patient's mouth, this application selects a target template tooth matching the residual tooth from a pre-set template library and automatically generates the corresponding gingiva, digitally completing the prosthesis design. The prosthesis design process is short. Attached Figure Description

[0038] The objectives, features, and advantages of this invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings.

[0039] Figure 1 This is a schematic diagram of the terminal / device structure of the hardware operating environment involved in the embodiments of the present invention;

[0040] Figure 2 This is a flowchart illustrating the first embodiment of the denture design method of the present invention;

[0041] Figure 3 This is a schematic diagram of the denture design process of the denture design method of the present invention;

[0042] Figure 4 This is a flowchart illustrating the second embodiment of the denture design method of the present invention;

[0043] Figure 5 This is a schematic diagram of the device module of the denture design device of the present invention. Detailed Implementation

[0044] It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

[0045] Reference Figure 1 , Figure 1 This is a schematic diagram of the dental prosthesis design device structure in the hardware operating environment involved in the embodiments of the present invention.

[0046] like Figure 1 As shown, the denture design device may include: a processor 1001, such as a central processing unit (CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. The communication bus 1002 is used to enable communication between these components. The user interface 1003 may include a display screen or an input unit such as a keyboard; optionally, the user interface 1003 may also include a standard wired interface or a wireless interface. The network interface 1004 may optionally include a standard wired interface or a wireless interface (such as a Wi-Fi interface). The memory 1005 may be a high-speed random access memory (RAM) or a stable non-volatile memory (NVM), such as a disk drive. The memory 1005 may also optionally be a storage device independent of the aforementioned processor 1001.

[0047] Those skilled in the art will understand that Figure 1The structures shown do not constitute a limitation on denture design devices and may include more or fewer components than illustrated, or combine certain components, or have different component arrangements.

[0048] like Figure 1 As shown, the memory 1005, which serves as a storage medium, may include an operating system, a data storage module, a network communication module, a user interface module, and a denture design program.

[0049] exist Figure 1 In the denture design device shown, the network interface 1004 is mainly used for data communication with other devices; the user interface 1003 is mainly used for data interaction with the user; the processor 1001 and the memory 1005 in the denture design device of the present invention can be set in the denture design device, and the denture design device calls the denture design program stored in the memory 1005 through the processor 1001 and executes the denture design method provided in the embodiment of the present invention.

[0050] Reference Figure 2 This invention provides a denture design method. In a first embodiment of the denture design method, the denture design method includes the following steps:

[0051] Step S10: Obtain dental model data from the patient's oral cavity, and identify residual teeth in the patient's oral cavity based on the dental model data;

[0052] Traditional handmade denture design suffers from inherent variations in occlusal relationships due to the inherent differences in measurements taken manually or visually. Currently, the technique of designing dentures using residual tooth roots or crowns requires extensive manual experience and highly skilled technicians. Furthermore, errors may occur during the procedure, necessitating manual adjustments later. The entire process is excessively labor-intensive and time-consuming.

[0053] When a patient has residual tooth roots or crowns but lacks proper occlusal conditions, it is difficult for the dentist to accurately determine the position of the occlusal plane, requiring extensive clinical experience. The subsequent denture design process also relies on the experience of the denture technicians. Due to today's high aesthetic standards, technicians need to spend a considerable amount of time accumulating experience. Traditional processes are time-consuming, have high labor costs, are complex and cumbersome, and may still contain errors even after the design is completed.

[0054] Therefore, in this embodiment, to avoid the aforementioned drawbacks, digital technology is used to analyze the occlusal relationship within the patient's oral cavity, obtain the occlusal plane, and realize digital denture design. This reduces the patient's medical costs, establishes a new tooth morphology, and restores a good occlusal relationship. It also solves the problem of insufficient experience among technicians and workers, simplifies the technician's operational process, and shortens the denture completion time.

[0055] Furthermore, by designing a plan that allows for a preview of the post-restoration effect and different tooth shapes, patients have more options for tooth shape and the likelihood of misaligned or unevenly shaped teeth in the designed prosthesis is reduced. In terms of time and cost, it reduces the learning time for technicians in the processing plant and lowers the costs associated with manual processing and restoration.

[0056] In this embodiment, a scanning device is used to uniformly scan the target teeth inside the patient's oral cavity, accurately and quickly scanning the actual intraoral situation to obtain dental model data that clearly distinguishes the gingiva, crown, and gingival margin. The dental model data can be a three-dimensional digital image, and the scanning device can be any device with oral three-dimensional digital image acquisition capabilities, such as cone-beam computed tomography (CBCT), UP600 intraoral scanner, intraoral scanner, or UP scanner.

[0057] Furthermore, the residual teeth in the patient's oral cavity will be identified through the dental model data obtained by scanning. The gingival cervical margin of the residual teeth can also be drawn in the dental model data to determine whether a window needs to be opened on the gingiva of the designed target template tooth. The residual teeth refer to the teeth with remaining roots or crowns in the patient's oral cavity. Other missing teeth in the patient's oral cavity besides the residual teeth are called missing teeth.

[0058] Step S20: Select a target template tooth that matches the residual tooth from the preset template library, and generate the gingiva corresponding to the target template tooth;

[0059] After obtaining the dental model data of the patient's oral cavity and identifying the residual teeth from the data, a template tooth matching the residual tooth can be selected from a preset template library. The template tooth can be adjusted until it meets certain conditions, and then this qualified template tooth is used as the target template tooth to match the residual tooth. For example, during the tooth arrangement process, adjacent teeth or occlusal collisions may occur between the residual tooth and the template tooth. In this case, the collision depth between the teeth is observed during the tooth movement to move the template tooth to a suitable position. It should be noted that if the preset template library contains multiple sets of template teeth matching the residual tooth, the set with the highest matching degree is selected.

[0060] Furthermore, after obtaining the target template tooth that matches the residual tooth, the corresponding gingiva of the target template tooth is generated. It should be noted that the target template tooth includes one or more teeth other than the residual tooth. Here, the gingiva corresponding to each tooth in the target template tooth can be generated. Combining the gingiva and teeth can yield a preliminary denture suitable for wearing in the patient's mouth.

[0061] In one embodiment, the step of generating the gingiva corresponding to the target template tooth includes:

[0062] Furthermore, in one embodiment, after the step of identifying residual teeth in the patient's oral cavity based on the dental model data, the method further includes:

[0063] Step a: Repair the dentition model data using a preset repair method to obtain edentulous dentition model data, wherein the preset repair method includes one or more of shaping, trimming, and filling.

[0064] Step b: Generate the gingiva corresponding to the target template tooth based on the edentulous jaw model data.

[0065] The dental model data after the extraction of residual teeth can be repaired using preset repair methods, that is, the entire dental model data can be repaired. The preset repair methods include one or more of shaping, trimming, and filling, and the dental model data after repair can be recorded as edentulous model data.

[0066] In this embodiment, after obtaining the dental model data of the patient's oral cavity, the dental model data can be repaired accordingly to obtain edentulous model data. Based on the repaired edentulous model data, the gingiva corresponding to the target template tooth is generated, thereby improving the accuracy of denture design.

[0067] Step S30: Generate the target denture based on the target template tooth and the gingiva.

[0068] After generating the gingiva of the target template tooth, different types of restoration can be provided for the target template tooth and gingiva obtained in the above steps. According to the different restoration types, the target template tooth after the gingiva is generated is processed accordingly to obtain the corresponding target denture, and the denture design is completed digitally.

[0069] In addition, to aid in understanding the denture design method flow in this embodiment, examples are provided below.

[0070] Reference Figure 3After starting the denture design process, the scanned jaw model data with residual teeth is imported. A set of template teeth corresponding to the residual teeth is selected from the preset template library. The template teeth are adjusted until the collision depth between the residual teeth and the template teeth meets the requirements. The template teeth that meet the requirements are recorded as the target template teeth. Then, the undercuts are removed from the jaw model data to obtain an undercut-free model. Based on the undercut-free model, the personalized gingiva of the target template teeth is designed. Then, the target template teeth after the gingiva is generated are processed and treated according to the corresponding restoration type to obtain the denture. In addition, the denture technician can also process the denture. After the denture technician completes the processing of the denture, the denture design is completed.

[0071] In this embodiment, residual teeth in the patient's oral cavity are identified using the patient's jaw model data. A target tooth matching the residual tooth is selected from a preset template library, and the gingiva of the target template tooth is automatically generated. Based on the target template tooth and gingiva, the target prosthesis is automatically generated, completing the design of the prosthesis when there are residual teeth with roots or crowns in the patient's oral cavity. This overcomes the technical defects of the prior art, which uses manual prosthesis design when there are residual teeth with roots or crowns in the patient's oral cavity. Due to the possibility of errors in the operation by the prosthesis designer, manual correction is required later, resulting in a long prosthesis design process. When there are residual teeth with roots or crowns in the patient's oral cavity, this application selects a target template tooth matching the residual tooth from a preset template library and automatically generates the gingiva corresponding to the target template tooth, digitally completing the prosthesis design. The prosthesis design process is short.

[0072] Furthermore, based on the first embodiment of the present invention described above, a second embodiment of the denture design method of the present invention is proposed. In this embodiment, the refinement of step S20 of the above embodiment, which involves selecting a target template tooth that matches the residual tooth from a preset template library and generating the gingiva corresponding to the target template tooth, includes:

[0073] Step d: Select a set of template teeth that match the remaining tooth from a preset template library, wherein the preset template library includes at least one set of template teeth;

[0074] In this embodiment, from the residual teeth identified in the patient's oral cavity using dental model data, a template tooth matching the residual tooth can be selected from a preset template library. If multiple template teeth matching the residual tooth exist in the preset template library, the template tooth with the highest matching degree can be selected, or the prosthodontic technician can specify a template tooth. The preset template library stores at least one template tooth. Template teeth can be designed in advance based on common tooth shapes and positions, and all pre-designed template teeth are stored in the preset template library so that a suitable template tooth can be directly selected for prosthesis design. Furthermore, the preset template library contains template teeth with diverse shapes and restoration types, allowing for greater patient selection and design of more satisfactory prostheses, thus offering greater convenience.

[0075] Step e: Detect whether the template teeth meet the preset collision conditions;

[0076] Step f: If the template teeth do not meet the preset collision conditions, adjust the template teeth until they meet the preset collision conditions.

[0077] Step g: If the template tooth meets the preset collision conditions, the template tooth that meets the preset collision conditions is taken as the target template tooth.

[0078] In this embodiment, after determining the template tooth in the preset template library that matches the residual tooth, it is necessary to check whether the template tooth meets the preset collision conditions. If the template tooth meets the preset collision conditions, the template tooth is used as the target template tooth. If the template tooth does not meet the preset collision conditions, the template tooth is adjusted until it meets the preset collision conditions. Then, the template tooth that meets the preset collision conditions is used as the target template tooth. The adjustment of the template tooth can include shaping or moving, which improves the quality of denture design.

[0079] In one embodiment, the step of detecting whether the template tooth meets the preset collision qualification conditions includes:

[0080] Step h: Determine the target collision depth between the residual tooth and the template tooth, and detect whether the target collision depth matches the preset qualified collision depth;

[0081] In this embodiment, it can be further determined whether the template tooth meets the preset collision conditions by detecting whether the target collision depth between the residual tooth and the template tooth matches the preset qualified collision depth. The collision depth between the template tooth and the residual tooth can be obtained by simulating chewing, biting, and other tooth movements in a real-world scenario.

[0082] In one embodiment, reference is made to Figure 4The step of determining the target collision depth between the residual tooth and the template tooth includes:

[0083] Step h1: Determine the position of the residual tooth in the template tooth;

[0084] Step h2: Determine the adjacent template tooth and the opposing template tooth corresponding to the residual tooth at the tooth position;

[0085] Step h3: Determine the collision depth between the residual tooth and the adjacent template tooth, and determine the collision depth between the residual tooth and the opposing template tooth;

[0086] Step h4: The adjacent collision depth and the opposing collision depth are used as the target collision depth.

[0087] Furthermore, the preset qualified collision depth is a pre-set range of qualified collision depths based on the actual situation. Different preset qualified collision depths can be set according to the different positions of the residual teeth in the oral cavity. Furthermore, at the same position of the residual teeth, adjacent preset qualified collision depths and opposing preset qualified collision depths can be set separately. The adjacent preset qualified collision depth can be a pre-set qualified collision depth between the residual tooth and the adjacent template tooth, and the opposing preset qualified collision depth can be a pre-set qualified collision depth between the residual tooth and the opposing template tooth. That is, the preset qualified collision depth of the residual tooth at each position can include both the adjacent preset qualified collision depth and the opposing preset qualified collision depth.

[0088] It should be noted that the position of the residual tooth is reserved in the template tooth. By determining the position of the residual tooth in the template tooth, the adjacent template tooth and the opposing template tooth corresponding to the residual tooth can be determined respectively. Then, by simulating the actual dental use scenario, the adjacent collision depth and the opposing collision depth of the residual tooth and the adjacent template tooth and the opposing template tooth can be obtained respectively. The adjacent collision depth and the opposing collision depth are combined as the target collision depth between the residual tooth and the template tooth.

[0089] Furthermore, after obtaining the target collision depth [adjacent collision depth, opposing collision depth] between the residual tooth and the template tooth, the adjacent collision depth can be matched with the adjacent preset qualified collision depth, and the opposing collision depth can be matched with the opposing preset qualified collision depth. After both are matched, the target collision depth is matched with the preset qualified collision depth.

[0090] In this embodiment, the position of the residual tooth in the template tooth is determined. After measuring the adjacent collision depth and the opposing collision depth between the residual tooth and the template tooth, the adjacent collision depth and the opposing collision depth are combined as the target collision depth. Only after the target collision depth matches the preset qualified collision depth is the template tooth considered to meet the preset collision conditions, thus ensuring the applicability of the designed denture.

[0091] Step j: If the target collision depth matches the preset qualified collision depth, then the template tooth is determined to meet the preset collision condition.

[0092] In this embodiment, if the target collision depth matches the preset qualified collision depth, the template tooth is determined to meet the preset collision conditions; otherwise, the template tooth is determined not to meet the preset collision conditions. At this time, the template tooth can be adjusted by shaping, moving, etc., until the target collision depth between the residual tooth and the template tooth matches the preset qualified collision depth, that is, until the template tooth meets the preset collision conditions.

[0093] In one embodiment, the step of generating the gingiva corresponding to the target template tooth based on the edentulous jaw model data includes:

[0094] Step k: Identify the cervical margin line of the target template tooth and extract the dental arch line from the edentulous jaw model data;

[0095] For example, a three-dimensional image of the target template tooth can be obtained by scanning the target template tooth with a scanning device, and then the cervical margin of the target template tooth can be identified from the three-dimensional image data.

[0096] Furthermore, a plaster model of the target template tooth can be created. After obtaining the plaster model, a scanning device is used to perform maxillary, mandibular, and occlusal scans on the target tooth in the plaster model to obtain plaster model data in STL or DCM format, including maxillary, mandibular, and occlusal data. Then, a preset recognition algorithm can be used to identify the reference cervical margin line in the plaster model data. Next, a preset registration algorithm is used to register the cervical margin line identified from the 3D image data with the reference cervical margin line. The data deviation domain obtained from the registration can be manually adjusted until the cervical margin line identified from the 3D image data matches the reference cervical margin line. The adjusted cervical margin line is then used as the cervical margin line of the target template tooth. The preset recognition algorithm can be a recognition algorithm set by the user in advance. In one embodiment, the recognition algorithm can be a one-point recognition algorithm. The preset registration algorithm is also a registration algorithm set by the user in advance. In one example, the registration algorithm can be the Iterative Closest Points (ICP) algorithm. The ICP algorithm registers two point sets (i.e. model data) by optimizing rigid body transformation.

[0097] It should be noted that the dental arch line can be extracted from edentulous jaw data. If no restoration processing is performed on the dental jaw model data after obtaining it, the dental arch line can also be extracted directly from the dental jaw model data.

[0098] Step 1: Input the cervical margin line and the dental arch line into a pre-trained undercut-free model for training, and output the gingiva corresponding to the target template tooth.

[0099] After obtaining the cervical margin line of the target template tooth and extracting the dental arch line from edentulous data, the cervical margin line and dental arch line can be input into a pre-trained undercut-free model for training, generating personalized gingiva corresponding to the target tooth. The pre-trained undercut-free model may include:

[0100] 1) Calculate the undercut area: Calculate the undercut area in the specified positioning direction;

[0101] 2) Concave Region Conversion: Using the return value of the concave region as the index of the triangle face, convert the triangle face into a mesh vertex;

[0102] 3) Inverted concave region vertex classification: Classify the mesh vertices in the inverted concave region. Mesh vertices in the same category have the same movement vector when the inverted concave region is removed.

[0103] 4) Removal of undercut regions: The projection algorithm is used to calculate the movement vector required for each category of mesh vertices when removing undercut regions. Then, the vertices of different categories are moved with their respective movement vectors to obtain the crown preparation model with undercut regions removed, and the gingiva is obtained from the crown preparation model.

[0104] In this embodiment, the cervical margin line of the target template tooth and the dental arch line extracted from the edentulous jaw model data are input into a pre-trained undercut-free model for training to obtain the personalized gingiva of the target template tooth. This personalized gingiva design of the target template tooth improves the accuracy and efficiency of gingival curve design, improves the gingival margin contour morphology of tooth restoration, and increases the success rate of personalized denture design.

[0105] In one embodiment, the step of generating the target denture based on the target template tooth and the gingiva includes:

[0106] Step m, determine the restoration type of the target template tooth, wherein the restoration type includes at least one of dentures and dental bridges;

[0107] Step n: After the restoration type is denture, the target template tooth and the gingiva are processed according to the processing method corresponding to the denture to obtain the target prosthesis;

[0108] Step o, after the restoration type is dental bridge, the target template tooth and the gingiva are processed using the processing method corresponding to the dental bridge to obtain the target denture.

[0109] In this embodiment, after obtaining the target template tooth and generating the gingiva of the target template tooth, the restoration type of the target template tooth is determined. The restoration type can include at least one of a denture and a dental bridge. The gingiva and the target template tooth are then processed using processing methods corresponding to different restoration types to obtain the target prosthesis. Specifically, if the restoration type is a denture, the target template tooth and gingiva are processed using the processing methods corresponding to dentures; if the restoration type is a dental bridge, the target template tooth and gingiva are processed using the processing methods corresponding to dental bridges. These processing methods include shaping, cutting, and milling. Furthermore, after designing a suitable (target) prosthesis for the patient, additional devices can be added to healthy tooth roots to improve the retention of the prosthesis and increase the patient's chewing efficiency.

[0110] In addition, after the target denture is designed, the relevant data of the target denture can be exported and laid out, such as the three-dimensional image data of the target denture. The resin material is then cut and processed according to the laid-out data to obtain the actual denture that can be worn by the patient. For example, the data of the target tooth can be exported into UPCAM and laid out. Then, the resin material is processed according to the laid-out data using a UP cutting machine. Finally, the processed denture is placed into the patient's mouth using adhesive.

[0111] In this embodiment, the type of denture restoration is determined, and the target template tooth after the gingiva has formed is processed according to the processing method corresponding to the restoration type to obtain the target denture. The restoration type can be selected by the patient, including dentures, bridges, etc. According to the different restoration types selected by the patient, the target template tooth after the gingiva has formed is processed accordingly to obtain the designed target denture, thus realizing personalized denture design.

[0112] In addition, refer to Figure 5 The present invention also provides a denture design device, the denture design device comprising:

[0113] The acquisition module A10 is used to acquire dental model data in the patient's oral cavity and identify residual teeth in the patient's oral cavity based on the dental model data;

[0114] The matching module A20 is used to select a target template tooth that matches the residual tooth from a preset template library and generate the gingiva corresponding to the target template tooth;

[0115] The generation module A30 is used to generate a target denture based on the target template tooth and the gingiva.

[0116] Furthermore, embodiments of the present invention also propose a denture design device, which includes a memory, a processor, and a denture design program stored in the memory and executable on the processor. When the denture design program is executed by the processor, it implements the steps of the denture design method described above.

[0117] In addition, to achieve the above objectives, the present invention also provides a computer-readable storage medium storing a denture design program, which, when executed by a processor, implements the steps of the denture design method as described above.

[0118] The specific embodiments of the computer-readable storage medium of the present invention are basically the same as those of the above-described denture design methods, and will not be repeated here.

[0119] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or system. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or system that includes that element.

[0120] The sequence numbers of the above embodiments of the present invention are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0121] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) as described above, and includes several instructions to cause a terminal device (which may be a mobile phone, computer, server, air conditioner, or network device, etc.) to execute the methods described in the various embodiments of the present invention.

[0122] The above are merely preferred embodiments of the present invention and do not limit the scope of the patent. Any equivalent structural or procedural transformations made based on the description and drawings of the present invention, or direct or indirect applications in other related technical fields, are similarly included within the scope of patent protection of the present invention.

Claims

1. A method of designing a denture, characterized by, The denture design method comprises the following steps: Obtain dental arch model data in the patient's oral cavity, identify residual teeth in the patient's oral cavity based on the dental arch model data; Select a set of template teeth matched with the residual teeth from a preset template library, wherein the preset template library comprises at least one set of template teeth; Determine the target collision depth between the residual teeth and the template teeth, and detect whether the target collision depth matches a preset qualified collision depth; If the target collision depth matches the preset qualified collision depth, it is determined that the template teeth meet a preset collision condition; If the template teeth do not meet the preset collision condition, adjust the template teeth until the template teeth meet the preset collision condition; If the template teeth meet the preset collision condition, the template teeth meeting the preset collision condition are taken as target template teeth; Generate the gingiva corresponding to the target template teeth, and generate target dentures based on the target template teeth and the gingiva.

2. The denture design method of claim 1, wherein The step of determining the target collision depth between the residual teeth and the template teeth comprises: Determine the tooth position of the residual teeth in the template teeth; Determine the corresponding adjacent template teeth and the opposite template teeth of the residual teeth on the tooth position; Determine the adjacent collision depth between the residual teeth and the adjacent template teeth, and determine the opposite collision depth between the residual teeth and the opposite template teeth; Take the adjacent collision depth and the opposite collision depth as the target collision depth.

3. The denture design method of claim 1, wherein The step of generating the gingiva corresponding to the target template teeth comprises: Repair the dental arch model data in a preset repair mode to obtain edentulous arch model data, wherein the preset repair mode comprises one or more of shaping, cutting, and hole filling; Generate the gingiva corresponding to the target template teeth based on the edentulous arch model data.

4. The denture design method of claim 3, wherein The step of generating the gingiva corresponding to the target template teeth based on the edentulous arch model data comprises: Identify the neck margin line of the target template teeth, and extract the dental arch line from the edentulous arch model data; Input the neck margin line and the dental arch line into a pre-trained reverse concave model for training, and output to obtain the gingiva corresponding to the target template teeth.

5. The denture design method of claim 1, wherein The step of generating target dentures based on the target template teeth and the gingiva comprises: Determine the repair type of the target template teeth, wherein the repair type comprises at least one of a false tooth and a dental bridge; After the repair type is a false tooth, process the target template teeth and the gingiva in a processing mode corresponding to the false tooth to obtain target dentures; After the repair type is a dental bridge, process the target template teeth and the gingiva in a processing mode corresponding to the dental bridge to obtain target dentures.

6. A denture design apparatus, characterized by The denture design device comprises: An acquisition module configured to obtain dental arch model data in the patient's oral cavity, and identify residual teeth in the patient's oral cavity based on the dental arch model data; A matching module configured to select a set of template teeth matched with the residual teeth from a preset template library, wherein the preset template library comprises at least one set of template teeth; determining a target collision depth between the residual tooth and the template tooth, detecting whether the target collision depth matches a preset qualified collision depth; if the target collision depth matches the preset qualified collision depth, determining that the template tooth meets a preset collision condition; if the template tooth does not meet the preset collision condition, adjusting the template tooth until the template tooth meets the preset collision condition; if the template tooth meets the preset collision condition, taking the template tooth meeting the preset collision condition as a target template tooth; generating a gingiva corresponding to the target template tooth, and generating a target denture based on the target template tooth and the gingiva.

7. A denture design apparatus, characterized by The denture design device comprises a memory, a processor, and a denture design program stored on the memory and executable on the processor, and the denture design program, when executed by the processor, implements the steps of the denture design method according to any one of claims 1 to 5.

8. A computer-readable storage medium, characterized in that, The computer readable storage medium stores a denture design program, and the denture design program, when executed by the processor, implements the steps of the denture design method according to any one of claims 1 to 5.

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