Method and apparatus for generating dental prosthesis, manufacturing system, and storage medium

Abstract

Provided are a method and apparatus for generating a dental prosthesis, a manufacturing system, and a storage medium, which relate to the technical field of stomatology. The method for generating a dental prosthesis comprises: acquiring static data of upper and lower jaws (22) and motion trajectory data of the lower jaw (23) of a patient (S11); acquiring facial morphology data (21) of the patient (S12); according to the static data of the upper and lower jaws (22), the motion trajectory data of the lower jaw (23), and the facial morphology data (21), generating a virtual patient model (20) (S13); according to a dental prosthesis template model and the virtual patient model (20), acquiring a try-on model (S14); and displaying an image of the try-on model (S15).

Description

Methods, devices, fabrication systems, and storage media for the fabrication of dental prostheses

[0001] Cross-reference of related applications

[0002] This application is based on and claims priority to CN application No. 202411907359.7, filed on December 23, 2024, the disclosure of which is incorporated herein by reference in its entirety. Technical Field

[0003] This disclosure relates to the field of oral medicine technology, and in particular to a method, apparatus, fabrication system, and storage medium for generating oral prostheses. Background Technology

[0004] Function and aesthetics are two equally important aspects of clinical diagnosis and treatment in prosthodontics. Related techniques employ two relatively independent sets of tools to address both the functional and aesthetic diagnostic needs in prosthodontics. During occlusal reconstruction, stable or anatomical occlusal pads are used to diagnose and meet the functional reconstruction requirements, followed by a diagnosis of tooth aesthetics. The final restoration is then placed, and the effectiveness of both functional and aesthetic reconstruction is assessed simultaneously. Summary of the Invention

[0005] One objective of this disclosure is to improve the efficiency of dental restorations and the personalization of dental prostheses.

[0006] According to one aspect of some embodiments of this disclosure, a method for generating an oral prosthesis is proposed, comprising: acquiring static data of the patient's maxilla and mandible and mandibular movement trajectory data; acquiring facial morphology data of the patient; generating a virtual patient model based on the static data of the maxilla and mandible, mandibular movement trajectory data, and facial morphology data; acquiring a trial model based on the oral prosthesis template model and the virtual patient model; and displaying an image of the trial model.

[0007] In some embodiments, obtaining a trial model based on a dental prosthesis template model and a virtual patient model includes: combining the dental prosthesis template model and the virtual patient model through key point matching to obtain a trial model.

[0008] In some embodiments, the number of types of oral prosthesis template models is greater than 1. Obtaining a trial model based on the oral prosthesis template model and the virtual patient model includes: combining each type of oral prosthesis template model with the virtual patient model to obtain a trial model that includes models of the corresponding type of oral prosthesis.

[0009] In some embodiments, combining a dental prosthesis template model with a virtual patient model as a trial model through key point matching includes: identifying key points in the virtual patient model using a pre-trained machine learning model; aligning the key points of the pre-annotated dental prosthesis template model with the key points in the virtual patient model to obtain the trial model.

[0010] In some embodiments, aligning the key points of a pre-annotated dental prosthesis template model with the key points in a virtual patient model includes: aligning the key points of the pre-annotated dental prosthesis template model with the key points in the virtual patient model by performing at least one of the following: adjusting the overall or partial size of the dental prosthesis template model, or adjusting the relative positions between different regions in the dental prosthesis template model.

[0011] In some embodiments, dental prosthesis templates are classified according to their appearance characteristics.

[0012] In some embodiments, displaying images of trial models includes: showing patients images of all generated trial models; the generation method further includes: acquiring a trial model selected by the user based on the displayed trial model images; and using the oral prosthesis model included in the selected trial model as the target oral prosthesis model.

[0013] In some embodiments, the generation method further includes using the oral prosthesis model as prosthesis design data.

[0014] In some embodiments, the generation method further includes: adjusting the target oral prosthesis model according to at least one of dental expertise or patient opinion to generate prosthesis design data.

[0015] In some embodiments, generating a virtual patient model based on static data of the mandible and mandible, mandibular movement trajectory data, and facial morphology data includes: obtaining mandibular movement trajectory features based on mandibular movement trajectory data; obtaining facial features based on facial morphology data; determining at least one of the positions with the highest mandibular movement repeatability or physiological posterior positions based on mandibular movement trajectory features and facial features, and determining the patient's jaw position relationship; and generating a virtual patient model that includes the patient's facial morphology data, static data of the mandible and mandible, and conforms to the jaw position relationship based on facial morphology data, static data of the mandible and mandible, and jaw position relationship.

[0016] In some embodiments, the static data of the maxilla and mandible include three-dimensional morphological data of the maxillary and mandibular dentition and occlusal relationship data.

[0017] In some embodiments, the generation method further includes: fabricating a patient's oral prosthesis based on prosthesis design data.

[0018] According to one aspect of some embodiments of the present disclosure, an apparatus for generating an oral prosthesis is provided, comprising: a memory; and a processor coupled to the memory, the processor being configured to execute any of the oral prosthesis generation methods described above based on instructions stored in the memory.

[0019] According to one aspect of some embodiments of the present disclosure, a computer-readable storage medium is provided having computer instructions stored thereon that, when executed by a processor, implement any of the methods for generating dental prostheses described above.

[0020] According to one aspect of some embodiments of this disclosure, a computer program product is proposed, including a computer program or instructions that, when executed by a processor, implement any of the methods for generating dental prostheses described above.

[0021] According to one aspect of some embodiments of this disclosure, a computer program is provided for causing a processor to execute any of the methods for generating dental prostheses described above.

[0022] According to one aspect of some embodiments of the present disclosure, a system for fabricating oral prostheses is provided, comprising: an oral prosthesis generating apparatus configured to perform an oral prosthesis generating method described above capable of generating data for fabricating oral prostheses; and a fabrication device configured to fabricate an oral prosthesis for a patient based on the data generated by the oral prosthesis generating apparatus. Attached Figure Description

[0023] The accompanying drawings, which are included to provide a further understanding of this disclosure and form part of this disclosure, illustrate exemplary embodiments of this disclosure and are used to explain this disclosure, but do not constitute an undue limitation of this disclosure.

[0024] Figure 1 is a flowchart of some embodiments of the method for generating oral prostheses disclosed herein.

[0025] Figure 2 is a schematic diagram of some embodiments of the method for generating a virtual patient model in the oral prosthesis generation method of this disclosure.

[0026] Figure 3 is a schematic diagram of some embodiments of the oral prosthesis template model in the method for generating oral prostheses disclosed herein.

[0027] Figure 4 is a flowchart of some other embodiments of the method for generating oral prostheses disclosed herein.

[0028] Figure 5 is a schematic diagram of some embodiments of the dental prosthesis generation device of this disclosure.

[0029] Figure 6 is a schematic diagram of some other embodiments of the dental prosthesis generation apparatus of this disclosure.

[0030] Figure 7 is a schematic diagram of some embodiments of the oral prosthesis fabrication system of this disclosure. Detailed Implementation

[0031] The technical solutions of this disclosure will be further described in detail below with reference to the accompanying drawings and embodiments.

[0032] The inventors discovered that the design and fabrication process of dental prostheses in related technologies requires a long consultation time and tends to prioritize meeting the patient's functional reconstruction needs while having a lower degree of satisfaction with aesthetic needs. Furthermore, the space for adjustment after the dental prosthesis is fabricated is limited, which further increases the patient's consultation costs and consultation time.

[0033] To address the aforementioned issues, this disclosure proposes a method, apparatus, manufacturing system, and storage medium for generating dental prostheses. This allows the design and adjustment of virtual models to be applied to the design process of dental prostheses, enabling the prostheses to be presented intuitively while meeting the user's functional reconstruction needs. This allows doctors and patients to intuitively understand the potential appearance of the prostheses in advance, facilitating personalized selection or adjustment. It simplifies manual operations in traditional processes, eliminates repeated trial fittings, streamlines the dental restoration process, and enhances the personalization of the resulting prostheses.

[0034] The oral prostheses mentioned in this disclosure include dentures or removable partial dentures fixed in the patient's mouth, such as removable partial dentures that include at least the middle four teeth of the maxilla or mandible.

[0035] A flowchart of some embodiments of the method for generating oral prostheses disclosed herein is shown in Figure 1, including steps S11-S15.

[0036] In step S11, the patient's static data of the upper and lower jaws and the movement trajectory data of the lower jaw are acquired.

[0037] Static data of the maxilla and mandible may include three-dimensional morphological data of the maxillary and mandibular dentition and occlusal relationship data. In some embodiments, static data of the patient's maxilla and mandible can be collected by an oral scanning device.

[0038] Mandibular movement trajectory data can be acquired through any of the relevant technologies. In some embodiments, the patient can be asked to perform a specified mandibular movement or any mandibular movement, and the mandibular movement trajectory captured in the image can be extracted through image acquisition. In some embodiments, the patient can wear a device with sensors or positioning points, and the patient's mandibular movement trajectory data can be obtained by collecting information on the positional changes of the sensors or the positional changes of the positioning points during the patient's specified or arbitrary mandibular movements.

[0039] In step S12, the patient's facial contour data is acquired. In some embodiments, the patient's facial contour data can be acquired through three-dimensional image acquisition.

[0040] The execution order of steps S11 and S12 above is not fixed and can be set arbitrarily as needed.

[0041] In step S13, a virtual patient model is generated based on the static data of the upper and lower jaws, the movement trajectory data of the mandible, and the facial morphology data.

[0042] For example, Figure 2 illustrates the data required to generate the virtual patient model and the methods for acquiring this data. Facial shape data 21 is obtained through static facial image acquisition; static maxillary and mandibular data 22 is obtained by scanning the patient's oral cavity using an oral scanner; and mandibular movement trajectory data 23 is obtained by acquiring data from the anterior teeth region with markers. Furthermore, combining the above data 21, 22, and 23 yields the virtual patient model 20.

[0043] In some embodiments, based on the obtained mandibular movement trajectory data, mandibular movement trajectory features can be further extracted, and facial features can be obtained based on facial morphology data. Based on the mandibular movement trajectory features and facial features, at least one of the positions with the highest mandibular movement repeatability or the physiological posterior position is determined to establish the patient's jaw position relationship. Based on facial morphology data, static data of the upper and lower jaws, and the jaw position relationship, a virtual patient model is generated that includes the patient's facial morphology data, static data of the upper and lower jaws, and conforms to the jaw position relationship. Based on the method in the embodiments described above, a virtual patient model that conforms to the patient's jaw position relationship and matches the user's mandibular movement habits can be obtained, enabling the subsequently generated trial model to meet the user's functional reconstruction needs.

[0044] In step S14, a trial model is obtained based on the oral prosthesis template model and the virtual patient model. For example, the two models are merged into the same model as the trial model.

[0045] In some embodiments, the dental prosthesis template model can be combined with a virtual patient model through key point matching to serve as a trial model, thereby improving the credibility of the trial model.

[0046] In some embodiments, multiple types of dental prosthesis templates can be provided, each containing at least one dental prosthesis template model, stored in a database and indexed by the template type identifier. Different types of dental prosthesis templates have different appearance characteristics. For example, Figure 3 shows the outer contour lines of the anterior teeth section of six styles of dental prosthesis template models, referred to as the beautiful type, dignified type, elegant type, handsome type, resolute type, and biomimetic type, respectively, as shown in (a)-(f).

[0047] The "Beautiful Type (a)" features four straight bases, vertically aligned edges on either side of the two central teeth, rounded lower left corners of the left central tooth and lower right corners of the right central tooth, and slightly curved edges on the other two central teeth. Based on actual wear and clinical experience, wearing this "Beautiful Type" dental prosthesis can create a graceful, youthful, and pure appearance.

[0048] Dignified type (b): The four central teeth have straight bases, the connection between the two central teeth is a vertical structure, and the radius of curvature of the vertical curves on both sides is greater than that of the two central teeth in the elegant type. The other two central teeth have slightly curved edges. Based on actual wearing and clinical experience, wearing dignified type dental restorations can present a horizontally and vertically straight, full and upright appearance.

[0049] Elegant type (c): The four central teeth have straight bases, the connection between the two central teeth is a vertical structure, and the lower part of the two sides has a large vertical curvature, with a smaller radius of curvature than the dignified type. The other two central teeth have a slight vertical curvature. Based on actual wearing and clinical experience, wearing elegant type dental restorations can present a soft, beautiful, elegant and generous appearance.

[0050] Handsome type (d): The four middle teeth have straight bases, with the connection between the two central teeth being a vertical structure. The two sides have slightly curved vertical edges. The other two middle teeth also have slightly curved vertical edges. The left tooth's base is slightly shifted upwards on the left, with a sharp, obtuse angle at the lower left corner. The right tooth's base is slightly shifted upwards on the right, with a sharp, obtuse angle at the lower right corner. Based on actual wearing and clinical experience, wearing a handsome type of dental prosthesis can present an appearance that is square on the inside and round on the outside, combining strength and softness.

[0051] Rugged Type (e): The four central teeth have straight bases. The gap between the two central teeth is smaller than that of the dignified, elegant, and handsome types. The connection between the two central teeth is a vertical structure, with slight vertical curvature on both sides. The other two central teeth have slightly vertical curvature on their edges: the lower left corner of the left tooth has a sharp, obtuse angle, smaller than the corresponding angle in the elegant type; the lower right corner of the right tooth has a sharp, obtuse angle, smaller than the corresponding angle in the elegant type. Based on actual wearing and clinical experience, wearing a rugged type dental prosthesis can present a distinctively angular and imposing appearance.

[0052] Bionic type (f): The lower middle part of the two middle teeth is slightly concave upwards, and the six teeth are slightly misaligned. Through actual wearing and clinical experience, it has been found that wearing bionic dental prostheses can present a natural, harmonious, and lifelike appearance.

[0053] The above-described template type classification is merely an example of feasible implementation methods, and its name is merely an exemplary name set for the appearance characteristics of each template. The types of oral prosthesis templates are not limited to the above 6 types, and the names of template types are not limited to the names indicated above.

[0054] In some embodiments, in step S14, the doctor may suggest or the patient may select one or more dental prosthesis templates, and a trial model may be generated based on the selected dental prosthesis template model and the virtual patient model. This achieves the presentation of the trial effect of the dental prosthesis while avoiding excessive computation and improving data processing efficiency.

[0055] In some embodiments, in step S14, each type of dental prosthesis template model can be combined with a virtual patient model to obtain a trial model including models of the corresponding type of dental prosthesis. The number of trial models obtained matches the number of dental prosthesis template models used. This method generates trial models with different appearance characteristics, allowing for a more intuitive representation of the wearing effect of dental prostheses based on different dental prosthesis templates, increasing patient choice, and improving user satisfaction.

[0056] 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-annotated dental prosthesis template model can be 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 studies, key points are annotated and used as training samples to train the machine learning model, resulting in the aforementioned pre-trained machine learning model. The annotated key points can be positions that are related to or overlap with the dental prosthesis template, so as to align with the key points on the dental prosthesis template model. This method can improve the fit between the dental prosthesis model in the trial model and the virtual patient model, thereby increasing the reliability of the trial model.

[0057] In some embodiments, considering the differences in oral cavity size, curvature angle, etc., among different patients, when aligning key points in the oral prosthesis template model with the virtual patient model, adjustments can be made to the oral prosthesis template model, either overall or locally. For example, the overall size or the size of some teeth can be adjusted, as can the relative positions (including distance, relative angle, relative height, etc.) between different areas. Through these overall or local adjustments, the key points of the pre-annotated oral prosthesis template model are aligned with the key points in the virtual patient model. The methods described in the above embodiments further improve the fit between the oral prosthesis model in the trial model and the virtual patient model, ensuring that the oral prosthesis obtained based on the oral prosthesis model can be applied to the patient and achieve the same appearance as the trial model, thus improving the reliability of the trial model.

[0058] In step S15, an image of the trial model is displayed, for example, via a screen or 3D projection, showing an image of the trial model from at least a frontal angle. In some embodiments, the trial model is a 3D model, and the angle of presentation can be changed through automatic playback or manual adjustment to increase the amount of appearance features that the image can provide, offering richer information for doctors and patients to make choices.

[0059] In some embodiments, if multiple trial models are generated in step S14, images of all generated trial models are displayed to the patient so that the patient can choose. This approach can improve the degree to which dental prostheses meet the user's needs and enhance the personalization of dental prostheses.

[0060] Based on the method in the above embodiments, a virtual patient model that takes into account both the user's appearance and the user's oral function reconstruction needs can be generated. By combining the virtual patient model with the oral prosthesis template model, the effect of the patient wearing the corresponding template type of oral prosthesis that meets the patient's oral function reconstruction needs can be intuitively presented. This simultaneously meets the patient's functional reconstruction and aesthetic needs, simplifies the oral restoration process, and improves the personalization of the obtained prosthesis.

[0061] Flowcharts of some other embodiments of the method for generating oral prostheses disclosed herein are shown in Figure 4, including steps 401-409.

[0062] In step 401, the patient's static maxillary and mandibular motion trajectory data are acquired.

[0063] In step 402, the patient's facial features data are acquired.

[0064] In step 403, a virtual patient model is generated based on the static data of the upper and lower jaws, the mandibular movement trajectory data, and the facial morphology data.

[0065] Steps 401-403 above are the same as or similar to steps S11-S13 shown above.

[0066] In step 404, each type of dental prosthesis template model is combined with a virtual patient model to obtain a trial model that includes the corresponding type of dental prosthesis.

[0067] In some embodiments, each of the above-described types of dental prosthesis templates refers to multiple types selected based on template types stored in the database, or each template type stored in the database.

[0068] In some embodiments, doctors may recommend or patients may select one or more dental prosthesis templates, and a trial fitting model may be generated based on the selected dental prosthesis template model and the virtual patient model. This achieves the presentation of the trial fitting effect of the dental prosthesis while avoiding excessive computation and improving data processing efficiency.

[0069] In some embodiments, each template model of a dental prosthesis stored in the database is combined with a virtual patient model to obtain a trial model that includes models of the corresponding type of dental prosthesis. The number of trial models obtained matches the number of dental prosthesis template models used. This method generates trial models with different appearance characteristics, allowing for a more intuitive demonstration of the wearing effect of dental prostheses based on different templates, increasing patient choice, and improving user satisfaction.

[0070] In step 405, images of all generated trial models are shown to the patient. In some embodiments, the trial models are three-dimensional models, and the presentation angle can be changed through automatic playback or manual adjustment to increase the amount of appearance features that the images can provide, offering richer information for doctors and patients to make choices.

[0071] 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 labeled during the presentation process so that the patient can quickly understand the presentation effect of that type of template.

[0072] In step 406, the trial model selected by the user based on the displayed trial model image is obtained. In some embodiments, instructions obtained through a human-computer interaction interface may be received to determine the corresponding trial model, which is used as the target wearing effect desired by the patient.

[0073] In step 407, the oral prosthesis model included in the selected trial model is used as the target oral prosthesis model.

[0074] In some embodiments, the dental prosthesis model in the trial model is separated and used as the target dental prosthesis model, or the dental prosthesis model that successfully matches the key points of the virtual patient model in step 404 and is used to generate the selected trial model is extracted and used as the target dental prosthesis model. This method can obtain a dental prosthesis model that matches the virtual patient model and conforms to the patient's jaw position, improving the model-patient matching degree and reducing the burden of subsequent processing.

[0075] In step 408, the target dental prosthesis model is adjusted based on at least one of dental expertise or patient opinions to generate prosthesis design data. This method can further improve the ability of the designed dental prosthesis to reconstruct the patient's oral function and its adaptability to the patient's needs, reduce the probability of secondary adjustments after the dental prosthesis is made, and improve the efficiency and personalization of dental prosthesis.

[0076] In some embodiments, step 408 can be skipped based on the doctor's judgment and the patient's needs, that is, the data of the target oral prosthesis model can be directly used as the prosthesis design data.

[0077] Based on the method in the above embodiments, multiple trial models of different styles can be generated for patients to choose from. Patients can select the desired trial model based on their own facial features, personal preferences and personality, thereby determining the corresponding oral prosthesis model. This provides a data foundation for the production of oral prostheses that meet both functional reconstruction needs and aesthetic and user requirements, and improves the efficiency of oral prosthesis design and production.

[0078] In some embodiments, as shown in FIG4, the method for generating oral prostheses of this disclosure further includes step 409.

[0079] In step 409, the patient's dental prosthesis is fabricated based on the prosthesis design data. For example, the prosthesis design data can be used as input data and fed into a 3D printer, which will then quickly print the dental prosthesis.

[0080] In some embodiments, the printer can first print a resin diagnostic wax model, which the patient can try on and experience the final restoration effect. For example, the patient can provide adjustment suggestions based on wearing comfort. The diagnostic wax model can be adjusted according to the adjustment suggestions, and the patient can try it on again until the patient is satisfied. The final adjusted result is used to manufacture the dental prosthesis, thereby further improving the fit between the dental prosthesis and the patient; avoiding adjustments to the finished dental prosthesis, reducing the difficulty of adjustments, and also reducing the patient's treatment costs and shortening the treatment time.

[0081] The methods described in the above embodiments can improve the accuracy and efficiency of oral aesthetic diagnosis, reduce the impact of human factors on the design results, and provide patients with faster and more personalized oral aesthetic treatment plans.

[0082] A schematic diagram of one embodiment of the dental prosthesis generation apparatus disclosed herein is shown in Figure 5. The dental prosthesis generation apparatus includes a memory 501 and a processor 502. The memory 501 can be a disk, flash memory, or any other non-volatile storage medium. The memory is used to store instructions from the corresponding embodiments of the dental prosthesis generation method 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 microcontroller. The processor 502 is used to execute the instructions stored in the memory, which can improve the efficiency of dental restoration and the personalization of dental prostheses.

[0083] In one embodiment, as shown in FIG6, the dental prosthesis generation apparatus 600 includes a memory 601 and a processor 602. The processor 602 is coupled to the memory 601 via a BUS bus 603. The dental prosthesis generation apparatus 600 can also be connected to an external storage device 605 via a storage interface 604 to access external data, and can also be connected to a network or another computer system (not shown) via a network interface 606. Further details are omitted here.

[0084] In this embodiment, by storing data instructions in a memory and then processing the instructions by a processor, the efficiency of dental restoration and the personalization of dental restorations can be improved.

[0085] In another embodiment, a computer-readable storage medium stores computer program instructions that, when executed by a processor, implement the steps of a method for generating an oral prosthesis corresponding to the method in the embodiment. Those skilled in the art will understand that embodiments of this disclosure can be provided as methods, apparatus, or computer program products. Therefore, this disclosure can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this disclosure can take the form of a computer program product embodied 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 code.

[0086] Schematic diagrams of some embodiments of the oral prosthesis fabrication system disclosed herein are shown in Figure 7.

[0087] The dental prosthesis generation device 71 can be any one of the above-mentioned methods, and can execute any one of the above-mentioned methods for generating data for making dental prostheses.

[0088] The fabrication device 72 can fabricate a patient's dental prosthesis based on data generated by the dental prosthesis fabrication device. In some embodiments, the fabrication device 72 can be a cutting device or a 3D printer, using data output from the dental prosthesis fabrication device 71 as input data to fabricate the dental prosthesis.

[0089] In some embodiments, the fabrication device 72 can be a 3D printer that uses resin as the printing material to print a resin diagnostic wax model based on input data, so that patients can try it on and experience the final restoration effect, thereby further improving the fit between the dental prosthesis and the patient, reducing the patient's treatment cost and shortening the treatment time.

[0090] Based on the dental prosthesis fabrication system described in the above embodiments, a virtual patient model can be generated by static and dynamic data acquisition, taking into account both the user's appearance and oral function reconstruction needs. By combining the virtual patient model with a dental prosthesis template model, the effect of the patient wearing a dental prosthesis of the corresponding template type that meets the patient's oral function reconstruction needs can be intuitively presented, simultaneously satisfying the patient's functional reconstruction and aesthetic requirements. The use of fabrication equipment to create physical dental prostheses for patients to wear quickly simplifies the dental restoration process and improves the personalization of the resulting prostheses.

[0091] This disclosure is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this disclosure. It will be understood that each block of the flowchart illustrations and / or block diagrams, as well as combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in one or more flowchart illustrations and / or one or more block diagrams.

[0092] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means that implement the functions specified in one or more flowcharts and / or one or more block diagrams.

[0093] These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process, such that the instructions, which execute on the computer or other programmable apparatus, provide steps for implementing the functions specified in one or more flowcharts and / or one or more block diagrams.

[0094] This concludes the detailed description of the present disclosure. To avoid obscuring the concept of the disclosure, some details known in the art have not been described. Those skilled in the art will fully understand how to implement the technical solutions disclosed herein based on the above description.

[0095] The methods and apparatus of this disclosure may be implemented in many ways. For example, they may be implemented by software, hardware, firmware, or any combination of software, hardware, and firmware. The above-described order of steps for the methods is for illustrative purposes only, and the steps of the methods of this disclosure are not limited to the order specifically described above unless otherwise specifically stated. Furthermore, in some embodiments, this disclosure may also be implemented as a program recorded on a recording medium, the program including machine-readable instructions for implementing the methods according to this disclosure. Thus, this disclosure also covers recording media storing programs for performing the methods according to this disclosure.

[0096] It should be noted that the terms "first," "second," etc., used in the specification, claims, and drawings of this disclosure are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this disclosure described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0097] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of this disclosure and not to limit them; although this disclosure has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications can still be made to the specific implementation of this disclosure or equivalent substitutions can be made to some technical features without departing from the spirit of the technical solutions of this disclosure, and all such modifications and substitutions should be covered within the scope of the technical solutions claimed in this disclosure.

Claims

1. A method for fabricating a dental prosthesis, comprising: Acquire static data of the patient's upper and lower jaws and mandibular movement trajectory data; Obtain the patient's facial features data; A virtual patient model is generated based on the static data of the upper and lower jaws, the movement trajectory data of the lower jaw, and the facial shape data. Based on the dental prosthesis template model and the virtual patient model, a trial fitting model is obtained; and Images of the model being tried on are shown.

2. The generation method according to claim 1, wherein, The process of obtaining the trial fitting model based on the oral prosthesis template model and the virtual patient model includes: By matching key points, the oral prosthesis template model is combined with the virtual patient model to form the trial fitting model.

3. The generation method according to claim 1 or 2, wherein, The number of types of oral prosthesis template models is greater than 1. The process of obtaining the trial fitting model based on the oral prosthesis template model and the virtual patient model includes: Each type of dental prosthesis template model is combined with the virtual patient model to obtain the trial model, which includes models of the corresponding type of dental prosthesis.

4. The generation method according to claim 3, wherein, The step of combining the oral prosthesis template model with the virtual patient model through key point matching to form the trial fitting model includes: Key points in the virtual patient model are identified using a pre-trained machine learning model; The key points of the pre-annotated oral prosthesis template model are aligned with the key points in the virtual patient model to obtain the trial fitting model.

5. The generation method according to claim 4, wherein, The step of aligning the key points of the pre-annotated oral prosthesis template model with the key points in the virtual patient model includes: By performing at least one of the following: adjusting the overall or partial dimensions of the oral prosthesis template model, or adjusting the relative positions between different regions of the oral prosthesis template model. Align the key points of the pre-annotated oral prosthesis template model with the key points in the virtual patient model.

6. The generation method according to claim 3, 4 or 5, wherein, The dental prosthesis templates are classified according to their appearance characteristics.

7. The generation method according to claim 3, 4 or 5, wherein, The process of displaying the images of the trial model includes: showing the patient all generated images of the trial model; The generation method further includes: Obtain the trial model selected by the user based on the displayed image of the trial model; The oral prosthesis model included in the selected trial model is used as the target oral prosthesis model.

8. The generation method according to claim 7, further comprising: The oral prosthesis model was used as prosthesis design data. or The target oral prosthesis model is adjusted based on at least one of dental expertise or patient opinions to generate the prosthesis design data.

9. The generation method according to any one of claims 1-8, wherein, The step of generating a virtual patient model based on the static data of the upper and lower jaws, the mandibular movement trajectory data, and the facial contour data includes: The mandibular movement trajectory features are obtained based on the mandibular movement trajectory data; Facial features are obtained based on the facial morphology data; Based on the mandibular movement trajectory characteristics and the facial features, determine at least one of the positions with the highest mandibular movement repeatability or the physiological posterior position, and determine the jaw position relationship of the patient; Based on the facial shape data, the static data of the upper and lower jaws, and the jaw position relationship, a virtual patient model is generated that includes the patient's facial shape data, the static data of the upper and lower jaws, and conforms to the jaw position relationship.

10. The generation method according to any one of claims 1-8, wherein, The static data of the maxilla and mandible include three-dimensional morphological data of the maxillary and mandibular dentition and occlusal relationship data.

11. The generation method according to claim 8, further comprising: The patient's oral prosthesis was fabricated based on the prosthesis design data.

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

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

14. A computer program product comprising a computer program or instructions which, when executed by a processor, implement the method for generating an oral prosthesis according to any one of claims 1 to 10.

15. A system for fabricating dental prostheses, comprising: The apparatus for generating oral prostheses is configured to perform the method for generating oral prostheses as described in claim 8; and The fabrication equipment is configured to fabricate a patient's oral prosthesis based on data generated by the prosthesis fabrication device.

16. A computer program for causing a processor to execute the method for generating an oral prosthesis according to any one of claims 1-10.

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