Generation method and device of dental restoration, manufacturing system and storage medium

Abstract

The invention provides a dental restoration generation method and device, a manufacturing system and a storage medium, and relates to the technical field of stomatology. The method for generating the dental restoration comprises the following steps: acquiring static data of upper and lower jaws and movement track data of the lower jaw of a patient; acquiring facial morphology data of the patient; generating a virtual patient model according to the upper and lower jaw static data, the lower jaw movement track data and the facial morphology data; obtaining a try-on model according to the dental restoration template model and the virtual patient model; and displaying the image of the try-on model.

Description

Technical Field

[0001] The present disclosure relates to the technical field of oral medicine, and in particular to a method, device, manufacturing system and storage medium for generating an oral restoration. Background Art

[0002] Function and aesthetics are two equally important aspects of clinical diagnosis and treatment of oral restoration. In related technologies, two relatively independent sets of tools are used to take into account the functional reconstruction diagnosis and aesthetic diagnosis needs in oral restoration. In the process of occlusal reconstruction, stable occlusal pads or anatomical occlusal pads are used to diagnose and meet the needs of functional reconstruction, and then the aesthetic morphology of the teeth is diagnosed on this basis. When the final restoration is worn, the functional and aesthetic reconstruction effects are tested at the same time. Summary of the invention

[0003] One object of the present disclosure is to improve the efficiency of oral restoration and the degree of personalization of oral restorations.

[0004] According to one aspect of some embodiments of the present disclosure, a method for generating an oral restoration is proposed, comprising: obtaining static data of the upper and lower jaws and mandibular motion trajectory data of the patient; obtaining facial morphology data of the patient; generating a virtual patient model based on the static data of the upper and lower jaws, the mandibular motion trajectory data and the facial morphology data; obtaining a trial model based on the oral restoration template model and the virtual patient model; and displaying an image of the trial model.

[0005] In some embodiments, obtaining a trial model based on the oral restoration template model and the virtual patient model includes: combining the oral restoration template model with the virtual patient model as a trial model through key point matching.

[0006] In some embodiments, the number of types of oral restoration template models is greater than 1, and obtaining a trial model based on the oral restoration template model and the virtual patient model includes: combining each type of oral restoration template model with the virtual patient model, respectively, to obtain a trial model including a model of the corresponding type of oral restoration.

[0007] In some embodiments, the oral restoration template model is combined with the virtual patient model through key point matching as a trial model, including: identifying key points in the virtual patient model through a pre-trained machine learning model; aligning the key points of the pre-labeled oral restoration template model with the key points in the virtual patient model to obtain a trial model.

[0008] In some embodiments, aligning the key points of a pre-marked oral restoration template model with the key points in a virtual patient model includes: by performing at least one of the following: overall or partial size adjustment of the oral restoration template model, or adjusting the relative positions between different areas in the oral restoration template model, aligning the key points of the pre-marked oral restoration template model with the key points in the virtual patient model.

[0009] In some embodiments, oral restoration templates are categorized according to appearance characteristics.

[0010] In some embodiments, displaying an image of a trial model includes: displaying images of all generated trial models to a patient; the generation method also includes: obtaining a trial model selected by a user based on the displayed image of the trial model; and using an oral restoration model included in the selected trial model as a target oral restoration model.

[0011] In some embodiments, the generating method further comprises: using the oral restoration model as restoration design data.

[0012] In some embodiments, the generating method further comprises: adjusting the target oral restoration model according to at least one of dental expertise or patient opinion to generate restoration design data.

[0013] In some embodiments, generating a virtual patient model based on the upper and lower mandibular static data, the mandibular motion trajectory data and the facial morphology data includes: obtaining mandibular motion trajectory characteristics based on the mandibular motion trajectory data; obtaining facial features based on the facial morphology data; determining at least one of the positions with the highest repeatability of mandibular movement or the physiological posterior position based on the mandibular motion trajectory characteristics and the facial features, and determining the patient's jaw position relationship; generating a virtual patient model that includes the patient's facial morphology data, the upper and lower mandibular static data and the jaw position relationship, and that conforms to the jaw position relationship, based on the facial morphology data, the upper and lower mandibular static data and the jaw position relationship.

[0014] In some embodiments, the static data of the upper and lower jaws include three-dimensional morphological data of the upper and lower jaw dentition and occlusal relationship data.

[0015] In some embodiments, the generating method further comprises: making an oral restoration for the patient according to the restoration design data.

[0016] According to one aspect of some embodiments of the present disclosure, a device for generating an oral restoration is provided, comprising: a memory; and a processor coupled to the memory, wherein the processor is configured to execute any one of the above methods for generating an oral restoration based on instructions stored in the memory.

[0017] According to one aspect of some embodiments of the present disclosure, a computer-readable storage medium is provided, on which computer instructions are stored, and when the instructions are executed by a processor, any one of the above methods for generating an oral restoration is implemented.

[0018] According to one aspect of some embodiments of the present disclosure, a computer program product is provided, comprising a computer program or instructions, which implement any one of the above methods for generating an oral restoration when the computer program or instructions are executed by a processor.

[0019] According to one aspect of some embodiments of the present disclosure, a system for producing an oral restoration is proposed, comprising: a generating device for the oral restoration, configured to execute the above-mentioned method for generating an oral restoration capable of generating data for producing the oral restoration; and a producing device, configured to produce an oral restoration for a patient according to the data generated by the generating device for the oral restoration. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] The drawings described herein are used to provide a further understanding of the present disclosure and constitute a part of the present disclosure. The illustrative embodiments of the present disclosure and their descriptions are used to explain the present disclosure and do not constitute an improper limitation on the present disclosure. In the drawings:

[0021] Figure 1 The present invention is a flow chart of some embodiments of the method for generating an oral restoration disclosed herein.

[0022] Figure 2 Schematic diagrams of some embodiments of generating a virtual patient model in the method for generating an oral restoration disclosed in the present invention.

[0023] Figure 3 Schematic diagrams of some embodiments of oral restoration template models in the method for generating an oral restoration disclosed in the present invention.

[0024] Figure 4 Flowcharts of other embodiments of the method for generating an oral restoration disclosed herein.

[0025] Figure 5 Schematic diagrams of some embodiments of the device for generating an oral restoration disclosed herein.

[0026] Figure 6 Schematic diagrams of other embodiments of the device for generating an oral restoration disclosed herein.

[0027] Figure 7 Schematic diagrams of some embodiments of the system for manufacturing an oral restoration disclosed herein. DETAILED DESCRIPTION

[0028] The technical solution of the present disclosure is further described in detail below through the accompanying drawings and embodiments.

[0029] The inventors have found that the design and production process of oral restorations in the related art requires a long consultation time, and is often more inclined to meet the patient's functional reconstruction needs, and has a lower degree of satisfaction with aesthetic needs; there is limited room for adjustment after the oral restoration is completed, and the patient's consultation costs and duration are further increased.

[0030] In response to the above-mentioned problems, the present disclosure proposes a method, device, production system and storage medium for generating an oral restoration, which can apply the design and adjustment operations of a virtual model to the design process of the oral restoration, so that the oral restoration can be presented intuitively on the basis of meeting the user's functional reconstruction needs, so that doctors and patients can intuitively know the appearance of the possible oral restoration in advance, so as to make personalized choices or adjustments, simplifying the manual operations in the traditional process, eliminating the repeated trial-wearing process, simplifying the process of oral restoration, and improving the degree of personalization of the restoration obtained.

[0031] The oral prosthesis mentioned in the present disclosure includes a denture or a removable partial denture fixed in the patient's mouth, such as a removable partial denture including at least the middle four teeth of the upper or lower jaw.

[0032] The flowcharts of some embodiments of the method for generating an oral restoration disclosed in the present invention are as follows: Figure 1 As shown, steps S11-S15 are included.

[0033] In step S11, the patient's upper and lower jaw static data and the lower jaw movement trajectory data are obtained.

[0034] The static data of the upper and lower jaws may include the three-dimensional morphological data of the upper and lower jaw dentition and the occlusal relationship data. In some embodiments, the static data of the upper and lower jaws of the patient may be collected by an oral scanning (oral scanning) device.

[0035] The mandibular motion trajectory data can be obtained by any method in the relevant technology. In some embodiments, the patient can be asked to perform a specified mandibular motion or an arbitrary mandibular motion, and the mandibular motion trajectory captured in the image can be extracted by image acquisition. In some embodiments, the patient can be asked to wear a device with a sensor or a positioning point, and the mandibular motion trajectory data of the patient can be obtained by collecting the position change information of the sensor or the position change information of the positioning point during the patient's specified mandibular motion or an arbitrary mandibular motion.

[0036] In step S12, facial morphology data of the patient is obtained. In some embodiments, the facial morphology data of the patient can be obtained by three-dimensional image acquisition.

[0037] There is no fixed execution order for the above steps S11 and S12, and the execution order can be set arbitrarily as needed.

[0038] In step S13, a virtual patient model is generated based on the upper and lower jaw static data, the lower jaw movement trajectory data and the facial morphology data.

[0039] For example, Figure 2 The data required to generate a virtual patient model and the method of obtaining the data are shown in FIG. The facial morphology data 21 is obtained by acquiring a static facial image; the upper and lower jaw static data 22 are obtained by scanning the patient's oral cavity with an oral scanning instrument; and the patient's mandibular motion trajectory data 23 is obtained by acquiring the anterior tooth area data with landmarks. Furthermore, the above data 21, 22, and 23 are combined to obtain a virtual patient model 20.

[0040] In some embodiments, based on the obtained mandibular motion trajectory data, mandibular motion trajectory features can be further extracted, and facial features can be obtained based on facial morphology data. Based on the mandibular motion trajectory features and facial features, at least one of the positions with the highest repeatability of mandibular movement or the physiological posterior position is determined to determine the patient's jaw relationship. Based on the facial morphology data, upper and lower jaw static data, and jaw relationship, a virtual patient model is generated that includes the patient's facial morphology data, upper and lower jaw static data, and conforms to the jaw relationship. Based on the method in the embodiment shown above, a virtual patient model that conforms to the patient's jaw relationship can be obtained, which conforms to the user's mandibular movement habits, so that the subsequently generated trial model can meet the user's functional reconstruction needs.

[0041] In step S14, a trial model is obtained based on the oral restoration template model and the virtual patient model, for example, the two models are merged into one model as a trial model.

[0042] In some embodiments, the oral restoration template model can be combined with the virtual patient model by key point matching to serve as a trial model, thereby improving the credibility of the trial model.

[0043] In some embodiments, multiple types of oral restoration templates can be set, each of which has at least one oral restoration template model, which is stored in the database and indexed by the type identifier of the template. Different types of oral restoration templates have different appearance characteristics. For example, Figure 3 The figure shows the outer contour lines of the anterior dentition of six styles of oral restoration template models, which are respectively called beautiful type, dignified type, elegant type, handsome type, resolute type, and bionic type as shown in (a)-(f).

[0044] Beautiful type (a): The bottom of the four teeth in the middle is straight, the edges of the two teeth in the middle are vertical, the lower left corner of the left tooth in the middle and the lower right corner of the right tooth are rounded right angles, and the edges of the other two teeth in the middle are slightly curved vertically. Through actual wearing and clinical experience, wearing a beautiful type of oral restoration can present a graceful, pure and youthful appearance.

[0045] Dignified type (b): The bottom of the four teeth in the middle is straight, the connection between the two teeth in the middle is a vertical structure, the radius of curvature of the vertical curvature of the edges on both sides is larger than the radius of curvature of the vertical curvature of the two teeth in the middle of the elegant type, and the edges of the other two teeth in the middle four are slightly curved vertically. Through actual wearing and clinical experience, it is concluded that wearing a dignified type of oral restoration can present a horizontal, vertical, full and correct appearance.

[0046] Elegant type (c): The bottom of the four teeth in the middle is straight, the connection between the two teeth in the middle is a vertical structure, the lower part of the two sides has a large vertical curvature, and its curvature radius is smaller than the vertical curvature radius of the two sides of the dignified type. The other two teeth in the middle are slightly curved vertically. Through actual wearing and clinical experience, wearing an elegant oral restoration can present a soft, beautiful, elegant and generous appearance.

[0047] Handsome type (d): The bottom of the four teeth in the middle is straight, the connection between the two teeth in the middle is a vertical structure, and the edges on both sides are slightly curved vertically. The edges of the other two teeth in the middle are slightly curved vertically: the left bottom of the left tooth moves slightly upward, and the lower left corner is a blunt angle with a sharp tip, and the right bottom of the right tooth moves slightly upward, and the lower right corner is a blunt angle with a sharp tip. Through actual wearing and clinical experience, it is concluded that wearing a handsome type of oral restoration can present an appearance that is square inside and round outside, and both hard and soft.

[0048] Fortitude type (e): The bottom of the four teeth in the middle is straight, the gap between the two teeth in the middle is smaller than that of the dignified type, elegant type, and handsome type, the connection between the two teeth in the middle is a vertical structure, and the edges on both sides are slightly curved vertically, and the edges of the other two teeth in the middle are slightly curved vertically: the lower left corner of the left tooth is a blunt-angle type with a sharp tip, and the angle is smaller than the corresponding position of the handsome type, and the lower right corner of the right tooth is a blunt-angle type with a sharp tip, and the angle is smaller than the corresponding position of the handsome type. Through actual wearing and clinical experience, it is concluded that wearing a fortitude type oral restoration can present a sharp-edged and majestic appearance.

[0049] Bionic type (f): The middle of the lower end of the two middle teeth is slightly concave upwards, and the six teeth are slightly unevenly arranged. Through actual wearing and clinical experience, it is concluded that wearing bionic oral restorations can present a natural, harmonious, and lifelike appearance.

[0050] The above classification of template types is only an example of feasible implementation, and the names are only exemplary names set according to the appearance characteristics of each template. The types of oral restoration templates are not limited to the above 6 types, and the names of template types are not limited to the names mentioned above.

[0051] In some embodiments, in step S14, the doctor may recommend or the patient may select one or more oral restoration templates, and a trial model may be generated based on the selected oral restoration template model and the virtual patient model. This can achieve the trial effect of the oral restoration while avoiding excessive computational overhead and improving data processing efficiency.

[0052] In some embodiments, in step S14, each type of oral restoration template model can be combined with the virtual patient model respectively, so as to obtain a trial model including a model of the corresponding type of oral restoration, and the number of the obtained trial models matches the number of the adopted oral restoration template models. Through such a method, trial models including different appearance characteristics can be generated, so that the wearing effect of the oral restoration based on different oral restoration templates can be intuitively reflected, which increases the patient's choice space and is conducive to improving user satisfaction.

[0053] In some embodiments, in step S14, a pre-trained machine learning model can be used to identify key points in the virtual patient model, and then the key points of the pre-labeled oral restoration template model are aligned with the key points in the virtual patient model to obtain a trial model. For example, based on virtual patient images collected in clinical research, the key points therein are labeled and used as training samples to train the machine learning model to obtain the above-mentioned pre-trained machine learning model. The labeled key points can be positions that are associated with or overlap with the oral restoration template, so as to be aligned with the key points on the oral restoration template model. Through such a method, the degree of adaptation between the oral restoration model in the trial model and the virtual patient model can be improved, and the reliability of the trial model can be improved.

[0054] In some embodiments, considering that different patients' oral cavity have differences in size, curvature angle, etc., when aligning the key points of the oral restoration template model with the virtual patient model, the oral restoration template model can be adjusted as a whole or in part, for example, the overall size or the size of some teeth can be adjusted, and the relative positions between different areas (including distance, relative angle, relative height, etc.) can be adjusted. Through the overall or local adjustment, the key points of the pre-marked oral restoration template model are aligned with the key points in the virtual patient model. Through the method in the above embodiment, the degree of adaptation between the oral restoration model in the trial model and the virtual patient model can be further improved, ensuring that the oral restoration obtained based on the oral restoration model can be applied to the patient and achieve the same appearance effect as the trial model, thereby improving the reliability of the trial model.

[0055] In step S15, an image of the fitting model is displayed, for example, by means of a screen or a three-dimensional projection, to display an image of at least the front angle of the fitting model. In some embodiments, the fitting model is a three-dimensional model, and the angle of presentation can be changed by automatic playback or manual adjustment to increase the amount of appearance features that can be provided by the image, thereby providing more abundant information for doctors and patients to make choices.

[0056] In some embodiments, if multiple trial models are generated in step S14, images of all the trial models are displayed to the patient for the patient to select. This approach can improve the compliance of the oral restoration with user needs and improve the personalization of the oral restoration.

[0057] Based on the method in the embodiment shown above, a virtual patient model can be generated that takes into account both the user's appearance characteristics and the user's oral function reconstruction needs. On the basis of the virtual patient model, an oral restoration template model is combined, so that the effect of the patient wearing an oral restoration of the corresponding template type that meets the patient's oral function reconstruction can be intuitively presented, thereby simultaneously meeting the patient's functional reconstruction and aesthetic needs, simplifying the oral restoration process, and improving the degree of personalization of the restoration obtained.

[0058] Flow charts of other embodiments of the method for generating an oral restoration disclosed herein are as follows: Figure 4 As shown, steps 401-409 are included.

[0059] In step 401, the patient's upper and lower jaw static data and the lower jaw movement trajectory data are obtained.

[0060] In step 402, facial morphology data of the patient is obtained.

[0061] In step 403, a virtual patient model is generated based on the upper and lower jaw static data, the lower jaw movement trajectory data and the facial morphology data.

[0062] The above steps 401 - 403 are the same as or similar to the above steps S11 - S13 .

[0063] In step 404, each type of oral restoration template model is combined with the virtual patient model to obtain a trial model including a model of the corresponding type of oral restoration.

[0064] In some embodiments, each type of oral restoration template mentioned above refers to multiple types selected based on the template types stored in the database, or each template type stored in the database.

[0065] In some embodiments, a doctor may recommend or the patient may select one or more oral restoration templates, and a trial model may be generated based on the selected oral restoration template model and the virtual patient model. This can achieve the trial effect of the oral restoration while avoiding excessive computational overhead and improving data processing efficiency.

[0066] In some embodiments, the oral prosthesis template models of each template type stored in the database are respectively combined with the virtual patient model to obtain trial models including models of the corresponding type of oral prosthesis, and the number of trial models obtained matches the number of oral prosthesis template models used. Through such a method, trial models including different appearance features can be generated, so that the wearing effects of oral prostheses based on different oral prosthesis templates can be intuitively reflected, which increases the patient's choice space and is conducive to improving user satisfaction.

[0067] In step 405, the images of all the trial models generated are displayed to the patient. In some embodiments, the trial models are three-dimensional models, and the angle of presentation can be changed by automatic playback or manual adjustment to increase the amount of appearance features that can be provided by the images, providing more abundant information for doctors and patients to make choices.

[0068] In some embodiments, a human-computer interaction interface may be provided during the presentation process for the patient to select. In some embodiments, the name of the template type corresponding to each trial model may be marked during the presentation process so that the patient can quickly understand the presentation effect of the appearance of the template of that type.

[0069] In step 406, the trial model selected by the user according to the displayed image of the trial model is obtained. In some embodiments, an instruction obtained through a human-computer interaction interface can be received to determine a corresponding trial model, and the trial model is used as the target wearing effect that the patient hopes to achieve.

[0070] In step 407, the oral restoration model included in the selected trial model is used as the target oral restoration model.

[0071] In some embodiments, the oral restoration model in the trial model is separated as the target oral restoration model, or the oral restoration model that successfully matches the key points of the virtual patient model in the above step 404 and is used to generate the selected trial model is extracted as the target oral restoration model. Through such a method, an oral restoration model that matches the virtual patient model and conforms to the patient's jaw position can be obtained, thereby improving the matching degree between the model and the patient and reducing the burden of subsequent processing.

[0072] In step 408, the target oral restoration model is adjusted according to at least one of the dental expertise or the patient's opinion, and restoration design data is generated. This method can further improve the ability of the designed oral restoration to reconstruct the patient's oral function and its adaptability to the patient's needs, reduce the probability of requiring secondary adjustments after the oral restoration is completed, and improve the efficiency of oral restoration and the degree of personalization of oral restorations.

[0073] In some embodiments, according to the doctor's judgment and the patient's needs, step 408 can be skipped, that is, the data of the target oral restoration model is directly used as the restoration design data.

[0074] Based on the method in the embodiment shown above, a plurality of trial models of different styles can be generated for patients to choose from. Patients can select the required trial models based on their own facial features, personal preferences and personality, and then determine the corresponding oral restoration model, thereby providing a data basis for producing oral restorations that meet both functional reconstruction needs and aesthetic and user needs, thereby improving the efficiency of oral restoration design and production.

[0075] In some embodiments, Figure 4 As shown, the method for generating an oral restoration disclosed in the present invention further includes step 409 .

[0076] In step 409, the oral prosthesis of the patient is manufactured according to the prosthesis design data. For example, the prosthesis design data can be used as input data and input into a 3D printer, and the 3D printer can quickly print out the oral prosthesis.

[0077] In some embodiments, the printer can first print out a resin diagnostic wax-up model, let the patient try it on and feel the final restoration effect, for example, the patient can be asked to make adjustment suggestions from the perspective of wearing comfort. The diagnostic wax-up model can be adjusted according to the adjustment suggestions, and the patient can be further tried on until the patient is satisfied. The final adjusted result is used to make the finished oral restoration, thereby further improving the fit between the oral restoration and the patient; avoiding adjustments to the finished oral restoration and reducing the difficulty of adjustments can also reduce the patient's medical costs and shorten the time of medical treatment.

[0078] Through the method in the embodiment shown above, the accuracy and efficiency of oral aesthetic diagnosis can be improved, the influence of human factors on the design results can be reduced, and patients can be provided with a faster and more personalized oral aesthetic treatment plan.

[0079] The structural schematic diagram of an embodiment of the device for producing an oral restoration disclosed in the present invention is as follows: Figure 5 As shown. The device for generating an oral restoration includes a memory 501 and a processor 502. Wherein: the memory 501 can be a disk, a flash memory or any other non-volatile storage medium. The memory is used to store the instructions in the corresponding embodiment of the method for generating an oral restoration described above. The processor 502 is coupled to the memory 501 and can be implemented as one or more integrated circuits, such as a microprocessor or a microcontroller. The processor 502 is used to execute the instructions stored in the memory, which can improve the efficiency of oral restoration and the personalization of the oral restoration.

[0080] In one embodiment, it is also possible to Figure 6 As shown, the oral restoration generation device 600 includes a memory 601 and a processor 602. The processor 602 is coupled to the memory 601 via a BUS bus 603. The oral restoration generation device 600 can also be connected to an external storage device 605 via a storage interface 604 to call external data, and can also be connected to a network or another computer system (not shown) via a network interface 606. No detailed description will be given here.

[0081] In this embodiment, the memory stores data instructions, and the processor processes the instructions, thereby improving the efficiency of oral restoration and the personalization of oral restorations.

[0082] In another embodiment, a computer-readable storage medium stores computer program instructions, which, when executed by a processor, implement the steps of the method in the corresponding embodiment of the method for generating an oral restoration. It should be understood by those skilled in the art that the embodiments of the present disclosure can be provided as methods, devices, or computer program products. Therefore, the present disclosure can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present disclosure can take the form of a computer program product implemented on one or more computer-usable non-transitory storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.

[0083] Schematic diagrams of some embodiments of the oral restoration manufacturing system disclosed in the present invention are as follows Figure 7 shown.

[0084] The oral restoration generating device 71 is any one of the above, and can execute any one of the above oral restoration generating methods capable of generating data for making an oral restoration.

[0085] The manufacturing device 72 can manufacture the patient's oral prosthesis according to the data generated by the oral prosthesis generation device. In some embodiments, the manufacturing device 72 can be a cutting device or a 3D printer, which uses the data output by the oral prosthesis generation device 71 as input data to manufacture the oral prosthesis.

[0086] In some embodiments, the production device 72 can be a 3D printer that uses resin as printing material, and prints out a resin diagnostic wax-up model based on the input data so that the patient can try it on and feel the final restoration effect, thereby further improving the compatibility of the oral restoration with the patient, reducing the patient's medical costs and shortening the consultation time.

[0087] Based on the oral prosthesis manufacturing system in the embodiment shown above, it is possible to generate a virtual patient model that takes into account the user's appearance characteristics and the user's oral function reconstruction needs through static and dynamic data collection, and combine the oral prosthesis template model on the basis of the virtual patient model, so that the effect of the patient wearing the oral prosthesis of the corresponding template type that meets the patient's oral function reconstruction can be intuitively presented, thereby simultaneously meeting the patient's functional reconstruction and aesthetic needs; the oral prosthesis entity is manufactured by using manufacturing equipment for patients to wear quickly, which simplifies the oral restoration process and improves the degree of personalization of the restoration obtained.

[0088] The present disclosure is described with reference to flowcharts and / or block diagrams of methods, devices (systems) and computer program products according to embodiments of the present disclosure. It should be understood that each process and / or block in the flowchart and / or block diagram and the combination of processes and / or blocks in the flowchart and / or block diagram can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0089] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0090] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0091] So far, the present disclosure has been described in detail. In order to avoid obscuring the concept of the present disclosure, some details known in the art are not described. Based on the above description, those skilled in the art can fully understand how to implement the technical solution disclosed here.

[0092] The method and apparatus of the present disclosure may be implemented in many ways. For example, the method and apparatus of the present disclosure may be implemented by software, hardware, firmware, or any combination of software, hardware, and firmware. The above order of steps for the method is for illustration only, and the steps of the method of the present disclosure are not limited to the order specifically described above, unless otherwise specifically stated. In addition, in some embodiments, the present disclosure may also be implemented as a program recorded in a recording medium, which includes machine-readable instructions for implementing the method according to the present disclosure. Therefore, the present disclosure also covers a recording medium storing a program for executing the method according to the present disclosure.

[0093] It should be noted that the terms "first", "second", etc. in the specification, claims, and drawings of the present disclosure are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present disclosure described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product, or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products, or devices.

[0094] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present disclosure rather than to limit it. Although the present disclosure has been described in detail with reference to the preferred embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present disclosure can still be modified or some technical features can be replaced by equivalents without departing from the spirit of the technical solution of the present disclosure, which should be included in the scope of the technical solution for protection of the present disclosure.

Claims

1. A method for producing an oral restoration, comprising: Obtain the patient's upper and lower jaw static data and mandibular movement trajectory data; Acquiring facial morphology data of the patient; generating a virtual patient model according to the upper and lower jaw static data, the lower jaw movement trajectory data and the facial morphology data; Acquire a trial model according to the oral restoration template model and the virtual patient model; and An image showing the fitting model.

2. The generation method according to claim 1, wherein: The obtaining of the trial model according to the oral restoration template model and the virtual patient model comprises: The oral restoration template model is combined with the virtual patient model through key point matching to serve as the trial model.

3. The generation method according to claim 1 or 2, wherein: The number of types of the oral restoration template models is greater than 1, The obtaining of the trial model according to the oral restoration template model and the virtual patient model comprises: Each type of oral restoration template model is combined with the virtual patient model respectively to obtain the trial model including the model of the corresponding type of oral restoration.

4. The generation method according to claim 3, wherein: The step of combining the oral restoration template model with the virtual patient model as the trial model by key point matching includes: identifying key points in the virtual patient model using a pre-trained machine learning model; The key points of the pre-marked oral restoration template model are aligned with the key points in the virtual patient model to obtain the trial model.

5. The generation method according to claim 4, wherein: The position alignment of the pre-marked key points of the oral restoration template model with the key points in the virtual patient model comprises: By performing at least one of the following: adjusting the overall or partial size of the oral restoration template model, or adjusting the relative positions between different regions in the oral restoration template model, The pre-marked key points of the oral restoration template model are aligned with the key points in the virtual patient model.

6. The generation method according to claim 3, 4 or 5, wherein: The oral restoration templates are classified according to appearance characteristics.

7. The generation method according to claim 3, 4 or 5, wherein: The image showing the fitting model includes: showing the patient all the generated images of the trial models; Also includes: Acquire the trial wearing model selected by the user according to the displayed image of the trial wearing model; The oral restoration model included in the selected trial model is used as the target oral restoration model.

8. The generation method according to claim 7, further comprising: Using the oral restoration model as restoration design data; or The target oral restoration model is adjusted according to at least one of dental expertise or patient opinion to generate the restoration design data.

9. The generation method according to claim 1, wherein: Generating a virtual patient model according to the upper and lower jaw static data, the lower jaw motion trajectory data and the facial morphology data comprises: Acquire mandibular motion trajectory features according to the mandibular motion trajectory data; Acquire facial features according to the facial morphology data; Determine at least one of the position with the highest mandibular movement repeatability or the physiological posterior position according to the mandibular movement trajectory characteristics and the facial features, and determine the jaw position relationship of the patient; According to the facial morphology data, the upper and lower jaw static data and the jaw position relationship, the virtual patient model including the facial morphology data, the upper and lower jaw static data of the patient and conforming to the jaw position relationship is generated.

10. The generation method according to claim 1, wherein: The upper and lower jaw static data include upper and lower jaw dentition three-dimensional morphological data and occlusal relationship data.

11. The generating method according to claim 8, further comprising: The oral restoration of the patient is manufactured according to the restoration design data.

12. A device for producing an oral restoration, comprising: Memory; as well as A processor coupled to the memory, the processor being configured to execute the method according to any one of claims 1 to 10 based on instructions stored in the memory.

13. A computer-readable storage medium having computer instructions stored thereon, which, when executed by a processor, implement the method according to any one of claims 1 to 10.

14. A computer program product, comprising a computer program or instructions, wherein when the computer program or instructions are executed by a processor, the method according to any one of claims 1 to 10 is implemented.

15. A system for manufacturing an oral restoration, comprising: A device for generating an oral restoration, configured to execute the method for generating an oral restoration according to claim 8; and The manufacturing device is configured to manufacture an oral restoration for a patient according to the data generated by the oral restoration generating device.

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