Occlusion reconstruction device design method and system
Through deep learning optimization of fusion images, trajectories and electromyography data, a three-dimensional digital model of the occlusal reconstruction device is generated, which solves the problems of complex and unstable occlusal reconstruction process in the existing technology, and achieves efficient and accurate occlusal reconstruction.
Patent Information
- Application Number
- CN202510565713.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-04-30
- Publication Date
- 2025-07-08
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
In the prior art, the occlusal reconstruction process is complicated, and it relies on high-tech restoration physicians and multiple follow-up visits, resulting in strong medical care in patients and unstable occlusal relationships can easily lead to joint displacement again.
By fusing the image data, trajectory data and electromyography activity data of the patient's oral and maxillofacial part, deep learning and machine learning algorithms are used to optimize the design of the occlusal reconstruction device, a three-dimensional digital model is generated, and biomechanical effects are simulated and occlusal reconstruction is achieved through 3D printing.
The precise design and efficient generation of occlusal reconstruction devices are realized, the number of clinical jaw adjustments is reduced, the design accuracy and efficiency are improved, and the stability of occlusal relationship is ensured.
Smart Images
Figure CN120267426A_ABST
Abstract
Description
Technical Field
[0001] This application relates to the technical field of oral medical devices, and particularly to a design method and system for an occlusal reconstruction device. Background Art
[0002] Temporomandibular disorders (TMDs) are a group of common clinical diseases with different etiologies, including masticatory muscle disorders, joint structure disorders, inflammatory diseases, osteoarthrosis, etc. The global prevalence rate is as high as 33%-40%. Its common hazards include mandibular movement disorders, pain and noise, chewing difficulties, facial deformities, occlusal disorders, and respiratory disorders. For the treatment of TMDs, according to the core concept of the Joint kinectics system (JKsystem), restoring the appropriate and correct disc-condyle relationship to construct a good joint physical and chemical environment is the key to treatment. Remodeling and maintaining a suitable occlusal relationship contribute to the formation and maintenance of a good disc-condyle relationship.
[0003] During the treatment of TMDs, it is first necessary to use a repositioning splint to reposition the misaligned articular condyle and articular disc. At this time, the joint is remodeled, but the occlusion may change accordingly. It is necessary to re-establish the occlusal relationship through orthodontic or prosthetic means; if the new disc-condyle relationship is not matched by a stable occlusal relationship, abnormal occlusal forces will cause the joint to displace again.
[0004] Currently, the clinical process of occlusal reconstruction is as follows: 1) Taking a plaster model; 2) Empirically obtaining the jaw position relationship after estimating occlusal elevation and recording it with bite wax; 3) Transferring the occlusal relationship to an articulator; 4) Fabricating a temporary reconstruction prosthesis; 5) Clinically trying it on; 6) Clinically adjusting it until the patient adapts; 7) Determining the final occlusal reconstruction device. In this treatment procedure, the restoration process is complicated, and the clinical techniques and experience requirements for restorative dentists and restorative dental technicians are too high. At the same time, for patients, due to the need for multiple follow-up visits to adjust the reconstruction device according to the patient's situation multiple times, a strong compliance is required during the long restoration period. Summary of the Invention
[0005] In view of the above problems, this application provides a design method and system for an occlusal reconstruction device, which realizes the comprehensive digital modeling of the oral and maxillofacial anatomy and function and occlusal reconstruction design by integrating the image data, trajectory data, and electromyogram activity data of the patient's oral and maxillofacial region.
[0006] To achieve the objectives of this application, the following technical solutions are provided in this application:
[0007] In a first aspect, this application provides a design method for an occlusal reconstruction device, including:
[0008] Obtain the imaging data, trajectory data, and electromyogram activity data of the patient's oral and maxillofacial region; the imaging data includes the digital model of the remaining dentition, cone beam CT images of the upper and lower jaws and dentition; the trajectory data includes dynamic images of the temporomandibular joint and three-dimensional trajectory data of the mandible during functional movement;
[0009] Perform fusion processing on the digital model of the remaining dentition, cone beam CT images of the upper and lower jaws and dentition, dynamic images of the temporomandibular joint, three-dimensional trajectory data of the mandible during functional movement, and electromyogram activity data to generate a three-dimensional digital model of the oral and maxillofacial region;
[0010] Adjust the position of the mandible in the three-dimensional digital model of the oral and maxillofacial region to determine the first target jaw position;
[0011] Optimize the first target jaw position based on the jaw anatomical features corresponding to the imaging data, the kinematic features corresponding to the trajectory data, and the muscle activity features corresponding to the electromyogram activity data to generate the structural data of the occlusal reconstruction device based on the second target jaw position; wherein, the occlusal reconstruction device is a two-jaw structure.
[0012] In a possible implementation manner, the performing fusion processing on the digital model of the remaining dentition, cone beam CT images of the upper and lower jaws and dentition, dynamic images of the temporomandibular joint, three-dimensional trajectory data of the mandible during functional movement, and electromyogram activity data to generate a three-dimensional digital model of the oral and maxillofacial region includes: fusing the digital model of the remaining dentition and the cone beam CT images of the upper and lower jaws and dentition to generate a first three-dimensional digital model including tooth morphology and jaw structure; fusing the dynamic images of the temporomandibular joint, the three-dimensional trajectory data of the mandible during functional movement, and the electromyogram activity data in the first three-dimensional digital model, and determining the three-dimensional digital model of the oral and maxillofacial region by analyzing the mechanical and physiological responses during functional movement; wherein, before fusing the digital model of the remaining dentition and the cone beam CT images of the upper and lower jaws and dentition, align the digital model of the remaining dentition and the cone beam CT images of the upper and lower jaws and dentition to the same coordinate system; use a synchronous signal generator to synchronize the dynamic images of the temporomandibular joint, the three-dimensional trajectory data of the mandible during functional movement, and the electromyogram data.
[0013] In a possible implementation manner, the adjusting the position of the mandible in the three-dimensional digital model of the oral and maxillofacial region to determine the first target jaw position includes: based on the three-dimensional digital model of the oral and maxillofacial region, simulate the position adjustment of the mandible; when the intermediate zone of the articular disc is close to above the anterior slope of the condyle, determine the current mandible position as the first target jaw position.
[0014] In a possible implementation, optimizing the first target jaw position based on the jaw anatomical features corresponding to the image data, the kinematic features corresponding to the trajectory data, and the muscle activity features corresponding to the electromyogram activity data to generate three-dimensional occlusal reconstruction device structure data corresponding to the second target jaw position, including: extracting the jaw anatomical features from the cone beam CT images of the upper and lower jaws and dentition, extracting the kinematic features from the three-dimensional trajectory data of the mandible during functional movement, and extracting the muscle activity features from the electromyogram; integrating the jaw anatomical features, the kinematic features, and the muscle activity features into a feature vector, and inputting the feature vector into a gradient boosting tree model for training to obtain a second three-dimensional digital model with oro-facial anatomical features; the second three-dimensional digital model includes comprehensive information on teeth, jaws, temporomandibular joints, and the muscle system; marking the area corresponding to the first target jaw position in the second three-dimensional digital model, and training an initial convolutional neural network based on the second three-dimensional digital model and the corresponding marking, and outputting a three-dimensional digital model of the occlusal reconstruction device corresponding to the second target jaw position and its functional adaptability evaluation result after learning and training.
[0015] In a possible implementation, the method further includes: determining three-dimensional occlusal reconstruction device structure data based on the second target jaw position; wherein, according to the target jaw position, designing three-dimensional occlusal reconstruction device structure data corresponding to the occlusal reconstruction device based on the dental anatomical morphology and occlusal relationship constraints.
[0016] In a possible implementation, the method further includes: after determining the three-dimensional occlusal reconstruction device structure data, simulating the functional movement after wearing the occlusal reconstruction device to verify the biomechanical compatibility of the occlusal reconstruction device with the temporomandibular joint, dentition, and periodontal tissue, and generating a verification result; in the case where the verification result indicates the intersection of the biomechanical compatibility of the occlusal reconstruction device and the temporomandibular joint, dentition, and periodontal tissue, updating the second three-dimensional digital model.
[0017] In a possible implementation, the method further includes: inputting the three-dimensional data set and the three-dimensional occlusal reconstruction device structure data into a deep learning model for training to obtain an occlusal reconstruction device design model; the occlusal reconstruction device design model is used to generate three-dimensional occlusal reconstruction device structure data corresponding to the next patient.
[0018] In a possible implementation, the method further includes: generating an occlusal reconstruction device based on the three-dimensional occlusal reconstruction device structure data; wherein, the occlusal reconstruction device is generated by 3D printing; the occlusal reconstruction device is a double-jaw wearing device.
[0019] In one possible implementation, the method further includes: quantitatively analyzing the biomechanical response after wearing the occlusal reconstruction device by finite element analysis, generating an occlusal stress distribution, a pressure peak value, and tissue adaptability changes, and updating the second target jaw position of the second digital model based on the occlusal stress distribution, the pressure peak value, and the tissue adaptability changes.
[0020] In a second aspect, the present application provides a dental orthodontic system, including:
[0021] A first dental instrument for adjusting the jaw position relationship during the treatment of joint repositioning;
[0022] A second dental instrument including an occlusal reconstruction device generated according to the occlusal reconstruction device design method as described above to realize the adjustment of the occlusal relationship during the occlusal reconstruction treatment.
[0023] The occlusal reconstruction device design method and system provided by the present application fuse multi-source data of the patient's oral and maxillofacial image data, trajectory data, and electromyogram activity data. At the same time, by combining the jaw bone anatomical features corresponding to the image data, the kinematic features corresponding to the trajectory data, and the muscle activity features corresponding to the electromyogram activity data, the first target jaw position (three-dimensional digital model of the oral and maxillofacial region) is optimized by using deep learning and machine learning algorithms, realizing the comprehensive digital modeling of the oral and maxillofacial anatomy and function and automatically generating the three-dimensional model of the occlusal reconstruction device, simulating its biomechanical effects, improving the accuracy and efficiency of the design, and realizing zero jaw adjustment clinically. BRIEF DESCRIPTION OF THE DRAWINGS
[0024] The drawings are used to provide a further understanding of the present application and form a part of the specification. They are used together with the embodiments of the present application to explain the present application and do not constitute a limitation to the present application;
[0025] Figure 1 FIG. is an optional flowchart of the occlusal reconstruction device design method provided by the embodiment of the present application;
[0026] Figure 2 FIG. is a schematic structural diagram of the remaining dentition digital model provided by the embodiment of the present application;
[0027] Figure 3 FIG. is an analysis schematic diagram of the electromyogram activity data provided by the embodiment of the present application;
[0028] Figure 4 FIG. is a software schematic diagram of the simulation analysis based on the first three-dimensional digital model provided by the embodiment of the present application;
[0029] Figure 5 FIG. is an analysis schematic diagram of the simulated mandibular position provided by the embodiment of the present application;
[0030] Figure 6Occlusal schematic diagram of the occlusal reconstruction device provided by the embodiment of the present application; wherein, A is the schematic diagram of the upper jaw, B is the schematic diagram of the lower jaw, C is the 45° schematic diagram of the upper jaw, and D is the front occlusal schematic diagram;
[0031] Figure 7 Finished product schematic diagram of the occlusal reconstruction device provided by the embodiment of the present application; wherein, A is the schematic diagram of the upper jaw of the occlusal reconstruction device, B is the schematic diagram of the lower jaw of the occlusal reconstruction device, and C is the 45° schematic diagram of the upper jaw of the occlusal reconstruction device. Detailed implementation manners
[0032] To make the objectives, technical solutions and advantages of the present application clearer, the technical solutions in the present application will be clearly and completely described below with reference to the accompanying drawings in the present application. Apparently, the described embodiments are some but not all of the embodiments of the present application. All other embodiments obtained by those of ordinary skill in the art without creative efforts based on the embodiments in the present application belong to the scope of protection of the present application.
[0033] The terms "first" and "second" are only used for descriptive purposes and cannot be construed as indicating or implying relative importance or implicitly specifying the quantity of the indicated technical features. Thus, the features defined with "first" and "second" may explicitly or implicitly include one or more of such features; in the description of the present application, unless otherwise specified, the meaning of "a plurality" is two or more.
[0034] Temporomandibular disorders (TMDs) are a class of common clinical diseases with different etiologies including masticatory muscle disorders, joint structure disorders, inflammatory diseases, osteoarthrosis, etc. The global prevalence rate is as high as 33%-40%. Its common harms include mandibular movement disorders, pain and noise, chewing difficulties, facial deformities, occlusal disorders, and respiratory disorders, etc. For the treatment of TMDs, according to the core concept of the Joint kinectics system (JKsystem), restoring the appropriate and correct disc-condyle relationship to construct a good joint physical and chemical environment is the key to treatment. Remodeling and maintaining a suitable occlusal relationship contribute to the formation and maintenance of a good disc-condyle relationship.
[0035] During the treatment of TMDs, a repositioning splint is first needed to reposition the displaced articular condyle and articular disc. At this time, the joint is remodeled, but the occlusion may be changed accordingly. It is necessary to re-establish the occlusal relationship through orthodontic or prosthetic means; if the new disc-condyle relationship is not matched by stabilizing the occlusal relationship, abnormal occlusal forces will cause the joint to displace again.
[0036] Currently, the clinical occlusal reconstruction process is as follows: 1) Taking a plaster model; 2) Empirically obtaining the jaw relationship after estimating the occlusal elevation and recording it with bite wax; 3) Transferring the occlusal relationship to an articulator; 4) Fabricating a temporary reconstruction prosthesis; 5) Clinically trying it on; 6) Clinically adjusting it until the patient gets used to it; 7) Determining the final occlusal reconstruction device. In this treatment procedure, the restoration process is complex, with excessively high requirements for the clinical techniques and experience of restorative dentists and dental technicians. At the same time, for patients, due to the need for multiple follow-up visits to adjust and grind the reconstruction device according to the patient's situation multiple times, a strong compliance is required during the long restoration period.
[0037] To solve the above technical problems, the present invention proposes the following technical solutions and corresponding embodiments.
[0038] Embodiment 1
[0039] The following combines Figures 1 to 7 the embodiments shown to describe the technical solutions of the present invention:
[0040] In this exemplary embodiment, first, a method for designing an occlusal reconstruction device is provided. Figure 1 FIG. shows a schematic flow diagram of the method for designing an occlusal reconstruction device of the present application. As Figure 1 shown, a method for designing an occlusal reconstruction device according to an embodiment of the present application includes the following contents of steps S101 to S105:
[0041] Step S101, obtaining a three-dimensional data set of the patient's oral and maxillofacial region; the three-dimensional data set includes image data, trajectory data, and electromyogram activity data
[0042] In the embodiment of the present application, referring to Figure 2 , Figure 3 , the image data includes: 1) Collecting a digital model of the remaining dentition of the patient's dentition through an intraoral scanner, which includes detailed information such as tooth morphology, arrangement, and occlusal contact points. In this embodiment, the patient is instructed to sit upright with the Frankfurt plane parallel to the ground; the upper and lower dentitions are scanned separately with an intraoral scanner, and the buccal occlusal relationship of the posterior teeth is scanned; the scanned data is exported and saved as a ".stl" format file. 2) Obtaining cone beam CT images of the upper and lower jaws and dentition by cone beam computed tomography (CBCT) scanning.
[0043] In the embodiment of the present application, the digital model of the remaining dentition can also be obtained by scanning the plaster model in the patient's mouth.
[0044] In the embodiments of the present application, the trajectory data includes: 1) By using Magnetic Resonance Imaging (MRI) technology, the anatomical structure and functional state of the temporomandibular joint are obtained respectively in the mouth-opening and mouth-closing states of the patient, including the positional relationship between the articular disc and the condyle, the morphology of the articular disc, and the movement trajectory of the condyle. 2) A mandibular movement recorder is used to record the three-dimensional trajectory data of the mandible during functional movements such as chewing, protrusion, and lateral movement.
[0045] In the embodiments of the present application, the electromyographic activity data refers to the electrical activity data (electromyogram, EMG) of the masticatory muscles (such as the masseter muscle and the temporalis muscle) recorded using surface electrodes during functional movements such as chewing, protrusion, and lateral movement, and analyzes the contraction pattern and coordination of the muscles.
[0046] Step S102: Perform fusion processing on the image data, trajectory data, and electromyographic activity data to generate a three-dimensional digital model of the oral and maxillofacial region.
[0047] In the embodiments of the present application, the digital model of the remaining dentition is fused with the cone beam CT images of the upper and lower jaws and dentition to generate a first three-dimensional digital model including tooth morphology and jaw structure, as shown in the reference Figure 4 Then, in the above first three-dimensional digital model, the trajectory data, that is, the dynamic images of the temporomandibular joint and the three-dimensional trajectory data of the mandible during functional movements, and the electromyographic activity data are fused. By analyzing the mechanical and physiological responses during functional movements, the three-dimensional digital model of the oral and maxillofacial region is determined. In the embodiments of the present application, before fusing the digital model of the remaining dentition with the cone beam CT images of the upper and lower jaws and dentition, different modality data are aligned to the same coordinate system (with the mandibular condyle and dentition tissue markers as the reference), and a synchronous signal generator is used to ensure that different modality data are collected at the same time point. Exemplarily, the digital model of the remaining dentition and the cone beam CT images of the upper and lower jaws and dentition are aligned to the same coordinate system, and the three-dimensional trajectory data and electromyogram data are synchronized in the time series.
[0048] In the embodiments of the present application, the digital model of the remaining dentition and the cone beam CT images of the upper and lower jaws and dentition are imported into an image processing software (image registration software) for fusion processing. This image processing software can perform three-dimensional reconstruction and image fusion based on the image data of the patient's oral and maxillofacial region, and then fuse the trajectory data and electromyographic activity data for the generated first three-dimensional digital model in this image processing software. Exemplarily, the image processing software can be Mimics software or general medical image processing software.
[0049] Step S103: Adjust the position of the mandible in the three-dimensional digital model of the oral and maxillofacial region to determine the first target jaw position.
[0050] In the embodiments of the present application, the referenceFigure 5 As shown, based on the three-dimensional digital model of the oral and maxillofacial region generated in the above step S102, the movement of the mandible is simulated in the image processing software until the intermediate zone of the articular disc is as far as possible above the anterior slope of the condyle; at this time, this current mandibular position is used as the first target jaw position. Exemplarily, the direction of simulating the mandibular movement can be to move the mandible downward and forward or downward.
[0051] Specifically, in this embodiment, occlusal adjustment is performed according to the three-dimensional digital model of the oral and maxillofacial region transmitted by the image processing software. By moving the mandible downward and forward, the intermediate zone of the articular disc is made to be as far as possible above the anterior slope of the condyle, and then a three-dimensional simulation of the occlusal splint space is performed using the occlusal gap generated by the adjusted occlusal relationship.
[0052] As a feasible implementation manner, the position of the mandible is adjusted in the image processing software through an optimization algorithm.
[0053] Step 104: Optimize the first target jaw position based on the jaw anatomical features corresponding to the imaging data, the kinematic features corresponding to the trajectory data, and the muscle activity features corresponding to the electromyogram activity data, and generate occlusal reconstruction device structure data based on the second target jaw position; wherein, the occlusal reconstruction device is a two-jaw structure.
[0054] In the embodiment of the present application, jaw anatomical features are extracted from the cone beam CT images of the upper and lower jaws and dentition, kinematic features (opening and closing condyle center and incisor point movement trajectories, alignment separation, movement smoothness, symmetry) are extracted from the three-dimensional trajectory data of the mandible during functional movement, and muscle activity features (muscle activity intensity, symmetry) are extracted from the electromyogram, and the jaw anatomical features, kinematic features, and muscle activity features are integrated into a comprehensive feature vector and input into a gradient boosting tree model for analysis to obtain a visualized second three-dimensional digital model with oral and maxillofacial anatomical features. Here, the second three-dimensional digital model includes comprehensive information on teeth, jaws, temporomandibular joints, and the muscle system.
[0055] In the embodiment of the present application, features such as tooth morphology, Spee curve, and occlusal contact points are extracted from the digital model of the remaining dentition and integrated with the above-mentioned jaw anatomical features, kinematic features, and muscle activity features into a comprehensive feature vector.
[0056] As a feasible implementation, the jaw anatomical features can be extracted by a curvature operator. Specifically, the curvature operator first extracts the surface models corresponding to the cone beam CT images of the three-dimensional upper and lower jaws and dentition, and then calculates the principal curvature and the mean curvature for each point on the surface model, and thus determines the key structures of the upper and lower jaws and dentition according to the change of curvature. Here, the regions with significant curvature changes are the key structures of the jaw joints. The muscle activity features can be extracted by a texture operator, which realizes the extraction of texture features by generating the gray-level co-occurrence matrix (GLCM) corresponding to the electromyographic activity data.
[0057] Among them, after the above features are extracted, data cleaning and preprocessing are first performed to remove noise data and fill in missing values.
[0058] In the embodiment of the present application, the regional image corresponding to the first target jaw position in the second three-dimensional digital model is sliced along one dimension or multiple dimensions to obtain a series of two-dimensional images, and the first target jaw position in the two-dimensional images is marked by combining the jaw anatomical features, kinematic features, and muscle activity features. Thus, based on the second three-dimensional digital model and the corresponding marks therein, the initial convolutional neural network is trained to obtain a pre-trained convolutional neural network, and further enables the trained convolutional neural network to identify and determine the second target jaw position in the input three-dimensional digital image, and at the same time further obtain the three-dimensional digital model of the occlusal reconstruction device corresponding to the second target jaw position and its functional adaptability evaluation result; here, both the first target jaw position and the second target jaw position refer to the jaw joint positions after treatment. In the embodiment of the present application, based on a convolutional neural network model, such as a CNN model, a mapping relationship is established between the second three-dimensional digital model in the three-dimensional oral cavity and the target treatment jaw position (the second target jaw position), and training is performed in the neural network model, and after at least 500 cases, thereafter, based on this well-trained convolutional neural network model, the data of the second three-dimensional digital model can be used as the input, and the three-dimensional digital model of the occlusal reconstruction device corresponding to the target treatment jaw position can be used as the output to realize the design optimization of the occlusal reconstruction device to simulate its spatial relationship and functional adaptability with the patient's oral anatomical structure.
[0059] In the embodiment of the present application, according to the target jaw position, the three-dimensional occlusal reconstruction device structure data corresponding to the occlusal reconstruction device is designed based on the dental anatomical morphology and occlusal relationship constraints by the physician's experience.
[0060] In an embodiment of the present application, after determining the structural data of the three-dimensional occlusal reconstruction device, the functional movement after wearing the occlusal reconstruction device is simulated to verify the biomechanical compatibility (FEA) between the occlusal reconstruction device and the temporomandibular joint, dentition, and periodontal tissue, and a verification result is generated; and when the verification result indicates that there is an intersection in the biomechanical compatibility between the occlusal reconstruction device and the temporomandibular joint, dentition, and periodontal tissue, the second three-dimensional digital model is updated.
[0061] In an embodiment of the present application, finite element analysis is used to quantitatively analyze the biomechanical response after wearing the occlusal reconstruction device, generate occlusal stress distribution, peak pressure, and tissue adaptability changes, and update data such as the second target jaw position of the second digital model based on the occlusal stress distribution, peak pressure, and tissue adaptability changes.
[0062] In an embodiment of the present application, using a machine learning method, a three-dimensional dataset (image data, trajectory data, and electromyogram activity data) of the patient's oral and maxillofacial region and the structural data of the three-dimensional occlusal reconstruction device are input into a deep learning model for training to obtain an occlusal reconstruction device design model; in this embodiment, the occlusal reconstruction device design model can receive a large amount of three-dimensional datasets of the patient's oral and maxillofacial region and the corresponding structural data of the three-dimensional occlusal reconstruction device, and through artificial intelligence machine learning, realize an automated three-dimensional simulation of the occlusal reconstruction device based on data fusion by an image processing software.
[0063] In an embodiment of the present application, with reference to Figures 6 - 7 As shown, an occlusal pad is made by 3D printing technology for occlusal testing and adjustment. And a dual-jaw occlusal reconstruction device is finally generated by 3D printing peek material. Here, the peek material has excellent mechanical properties, can still have good strength with a smaller thickness, broadens the clinical application range of the occlusal plate, and the peek material is lightweight, small in volume, and comfortable to wear. The color is close to the tooth color, and the aesthetics is good. By wearing it on both jaws, it is also beneficial to achieve an ideal occlusion.
[0064] In an embodiment of the present application, after the patient wears the occlusal reconstruction device, the functional data of the patient is collected based on a preset period to dynamically update the three-dimensional dataset according to the functional data. Through real-time data collection and model update, the treatment plan is dynamically adjusted to ensure the continuous optimization of the treatment.
[0065] The occlusal reconstruction device design method provided by the embodiments of the present application optimizes the first target jaw position (oral and maxillofacial three-dimensional digital model) by integrating multi-source data of the patient's oral and maxillofacial imaging data, trajectory data, and electromyogram activity data, and combining the jaw bone anatomical features corresponding to the imaging data, the kinematic features corresponding to the trajectory data, and the muscle activity features corresponding to the electromyogram activity data. It realizes the comprehensive digital modeling of the oral and maxillofacial anatomy and function, automatically generates the three-dimensional model of the occlusal reconstruction device, simulates its biomechanical effects, improves the accuracy and efficiency of the design, and achieves zero jaw adjustment in clinical practice.
[0066] Based on the foregoing embodiments, the present embodiment further provides a dental treatment system, including: a first dental instrument for adjusting the jaw position relationship during the joint repositioning treatment; a second dental instrument including an occlusal reconstruction device generated according to the occlusal reconstruction device design method described above to achieve the adjustment of the occlusal relationship during the occlusal reconstruction treatment.
[0067] The embodiments of the present application further provide a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the vehicle communication method in any embodiment of the present application is realized. Specifically, a system or device equipped with a storage medium can be provided, on which software program codes for realizing the functions in any of the above embodiments are stored, and the computer (or CPU or MPU) of the system or device is made to read and execute the program codes stored in the storage medium.
[0068] Particularly, according to the embodiments of the present invention, the process described above with reference to the flowchart can be implemented as a computer software program. For example, the embodiments of the present invention include a computer program product, which includes a computer program carried on a computer-readable storage medium, and the computer program contains program codes for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from the network through the communication part, and / or installed from a removable medium. When the computer program is executed by a central processing unit (CPU), the above functions defined in the system of the present application are executed.
[0069] It should be noted that the computer-readable storage medium shown in the present invention can be a computer-readable signal medium, a computer-readable storage medium, or any combination of the two. The computer-readable storage medium can be, for example, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the above. More specific examples of the computer-readable storage medium can include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present invention, the computer-readable storage medium can be any tangible medium that contains or stores a program, and this program can be used by or in combination with an instruction execution system, apparatus, or device. In the present invention, the computer-readable signal medium can include a data signal propagated in a baseband or as part of a carrier wave, in which the computer-readable program code is carried. Such a propagated data signal can take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. The computer-readable signal medium can also be any computer-readable storage medium other than the computer-readable storage medium, and this computer-readable storage medium can send, propagate, or transmit a program for use by or in combination with an instruction execution system, apparatus, or device. The program code contained on the computer-readable storage medium can be transmitted using any appropriate medium, including but not limited to: wireless, wire, optical cable, RF, etc., or any suitable combination of the above.
[0070] The flowcharts and block diagrams in the accompanying drawings illustrate the possible architectures, functions, and operations of systems, methods, and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagram can represent a module, a program segment, or a part of code, and the above module, program segment, or part of code contains one or more executable instructions for implementing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the blocks may occur in a different order than marked in the accompanying drawings. For example, two consecutive blocks shown may actually be executed substantially in parallel, and they may sometimes be executed in the reverse order, depending on the functions involved. It should also be noted that each block in the block diagram or flowchart, as well as the combination of blocks in the block diagram or flowchart, can be implemented by a dedicated hardware-based system for performing the specified functions or operations, or can be implemented by a combination of dedicated hardware and computer instructions.
[0071] The units involved in the embodiments of the present invention can be implemented in software or in hardware, and the described units can also be provided in a processor. Among them, the names of these units do not constitute a limitation to the unit itself in some cases.
[0072] It should be noted that although several modules or units of a device for action execution are mentioned in the above detailed description, this division is not mandatory. In fact, according to the embodiments of the present invention, the features and functions of two or more modules or units described above can be embodied in one module or unit. Conversely, the features and functions of one module or unit described above can be further divided and embodied by multiple modules or units.
[0073] Through the description of the above embodiments, those skilled in the art can easily understand that the example embodiments described herein can be implemented by software or by software in combination with necessary hardware. Therefore, the technical solutions according to the embodiments of the present invention can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (such as a CD-ROM, a USB flash drive, a mobile hard disk, etc.) or on a network, including several instructions for causing a computing device (such as a personal computer, a server, a touch terminal, or a network device, etc.) to execute the method according to the embodiments of the present invention.
[0074] In several embodiments provided in the present application, it should be understood that the disclosed systems, modules, and methods can be implemented in other ways. For example, the module embodiments described above are only illustrative. For example, the division of units is only a logical function division, and there may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed couplings or direct couplings or communication connections to each other can be through some interfaces, indirect couplings or communication connections of modules or units, and can be in electrical, mechanical, or other forms.
[0075] The above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit it. The present application is not limited to the exact structures described above and illustrated in the drawings, and the specific implementation of the present application cannot be considered to be limited only to these descriptions. For those of ordinary skill in the technical field to which the present application belongs, various changes and deformations made without departing from the concept of the present application should be regarded as belonging to the protection scope of the present application.
Claims
1. A method for designing an occlusal reconstruction device, characterized in that, Including: Obtaining the image data, trajectory data, and electromyogram activity data of the patient's oral and maxillofacial region; the image data includes the digital model of the remaining dentition, cone-beam CT images of the upper and lower jaws and dentition; the trajectory data includes dynamic images of the temporomandibular joint and three-dimensional trajectory data of the mandible during functional movement; Performing fusion processing on the digital model of the remaining dentition, cone-beam CT images of the upper and lower jaws and dentition, dynamic images of the temporomandibular joint, three-dimensional trajectory data of the mandible during functional movement, and electromyogram activity data to generate a three-dimensional digital model of the oral and maxillofacial region; Adjusting the position of the mandible in the three-dimensional digital model of the oral and maxillofacial region to determine the first target jaw position; Optimizing the first target jaw position based on the jaw anatomical features corresponding to the image data, the kinematic features corresponding to the trajectory data, and the muscle activity features corresponding to the electromyogram activity data to generate the structural data of the occlusal reconstruction device corresponding to the second target jaw position; wherein, the occlusal reconstruction device is a two-jaw structure.
2. The method for designing an occlusal reconstruction device according to claim 1, characterized in that The performing fusion processing on the digital model of the remaining dentition, cone-beam CT images of the upper and lower jaws and dentition, dynamic images of the temporomandibular joint, three-dimensional trajectory data of the mandible during functional movement, and electromyogram activity data to generate a three-dimensional digital model of the oral and maxillofacial region includes: Fusing the digital model of the remaining dentition and the cone-beam CT images of the upper and lower jaws and dentition to generate a first three-dimensional digital model including the dentition morphology and jaw structure; Fusing the dynamic images of the temporomandibular joint, the three-dimensional trajectory data of the mandible during functional movement, and the electromyogram activity data in the first three-dimensional digital model, and determining the three-dimensional digital model of the oral and maxillofacial region by analyzing the mechanical and physiological responses during functional movement; Wherein, before fusing the digital model of the remaining dentition and the cone-beam CT images of the upper and lower jaws and dentition, aligning the digital model of the remaining dentition and the cone-beam CT images of the upper and lower jaws and dentition to the same coordinate system; using a synchronous signal generator to synchronize the dynamic images of the temporomandibular joint, the three-dimensional trajectory data of the mandible during functional movement, and the electromyogram data.
3. The method for designing an occlusal reconstruction device according to claim 2, characterized in that, The adjusting the position of the mandible in the three-dimensional digital model of the oral and maxillofacial region to determine the first target jaw position includes: Based on the three-dimensional digital model of the oral and maxillofacial region, simulating the position adjustment of the mandible; When the intermediate zone of the articular disc is close to being above the anterior slope of the condyle, determining the current mandible position as the first target jaw position.
4. The method for designing an occlusal reconstruction device according to claim 3, wherein The optimizing the first target jaw position based on the jaw anatomical features corresponding to the image data, the kinematic features corresponding to the trajectory data, and the muscle activity features corresponding to the electromyogram activity data to generate the three-dimensional structural data of the occlusal reconstruction device corresponding to the second target jaw position includes: Extracting the jaw anatomical features from the cone-beam CT images of the upper and lower jaws and dentition, extracting the kinematic features from the three-dimensional trajectory data of the mandible during functional movement, and extracting the muscle activity features from the electromyogram; Integrate the jaw anatomical features, the kinematic features, and the muscle activity features into a feature vector, and input the feature vector into a gradient boosting tree model for training to obtain a second three-dimensional digital model with oro-facial anatomical features; the second three-dimensional digital model includes comprehensive information on teeth, jaws, temporomandibular joints, and the muscle system; Mark the area corresponding to the first target jaw position in the second three-dimensional digital model, and train the initial convolutional neural network based on the second three-dimensional digital model and the corresponding marks, and output the three-dimensional digital model of the occlusal reconstruction device corresponding to the second target jaw position and its functional adaptability evaluation result through learning and training.
5. The method for designing an occlusal reconstruction device according to claim 4, wherein The method further includes: designing the three-dimensional occlusal reconstruction device structure data corresponding to the occlusal reconstruction device based on the tooth anatomical morphology and the occlusal relationship constraints according to the target jaw position.
6. The method for designing an occlusal reconstruction device according to claim 5, wherein The method further includes: after determining the three-dimensional occlusal reconstruction device structure data, simulating the functional movement after wearing the occlusal reconstruction device to verify the biomechanical compatibility of the occlusal reconstruction device with the temporomandibular joint, dentition, and periodontal tissues, and generating a verification result; In the case where the verification result characterizes the intersection of the biomechanical compatibility of the occlusal reconstruction device with the temporomandibular joint, dentition, and periodontal tissues, update the second three-dimensional digital model.
7. The method for designing an occlusal reconstruction device according to any one of claims 1-6, characterized in that, The method further includes: Input the three-dimensional data set and the three-dimensional occlusal reconstruction device structure data into a deep learning model for training to obtain an occlusal reconstruction device design model; the occlusal reconstruction device design model is used to generate the three-dimensional occlusal reconstruction device structure data corresponding to the next patient.
8. The occlusal reconstruction device design method according to claim 7, characterized in that, The method further includes: Generate an occlusal reconstruction device based on the three-dimensional occlusal reconstruction device structure data; wherein, the occlusal reconstruction device is generated by 3D printing peek material; the occlusal reconstruction device is a bilateral occlusal splint.
9. The method for designing an occlusal reconstruction device according to claim 8, wherein The method further includes: Use finite element analysis to quantitatively analyze the biomechanical response after wearing the occlusal reconstruction device, generate occlusal stress distribution, peak pressure, and tissue adaptability changes, and update the second target jaw position of the second digital model based on the occlusal stress distribution, peak pressure, and tissue adaptability changes.
10. A dental orthodontic system, characterized in that, Includes: A first dental instrument for adjusting the jaw position relationship during joint repositioning treatment; A second dental instrument, including an occlusal reconstruction device generated according to the occlusal reconstruction device design method according to any one of claims 1-9, to achieve the adjustment of the occlusal relationship during the occlusal reconstruction treatment.