Orthodontic visualization system and method for temporomandibular joint rotation simulation

Abstract

The invention discloses an orthodontic visualization system and method for temporomandibular joint rotation simulation, and relates to the technical field of orthodontic medical treatment, and the system comprises a hard tissue extraction module which automatically extracts hard tissue image data from a patient skull CBCT image; the joint recognition control module recognizes anatomical features of the condyle process and the glenoid fossa and generates optimized condyle process rotation parameters; the jaw rotation control module dynamically optimizes a lower jaw rotation angle based on first-order and second-order change rates in the contact pressure distribution model; the tooth image intelligent virtual module is used for identifying a tooth form outline, simulating a tooth embedding or separating state and quantifying a vertical displacement amount of the tooth; the microprocessor integrates data of each module to generate dynamic image data; the visual terminal module dynamically displays a condylar process rotation track, contact pressure distribution and a tooth displacement state, and marks high-pressure and low-pressure areas through colors. According to the method, the accuracy and efficiency of orthodontic scheme design are improved, and the method has important clinical application value.

Description

Technical Field

[0001] The present invention relates to the field of oral orthodontic medical technology, and in particular to an orthodontic visualization system and method for simulating temporomandibular joint rotation. Background Art

[0002] Malocclusion is one of the three major oral diseases announced by the World Health Organization. Its incidence and harmfulness are second only to periodontal disease and caries, and it has become an important oral health problem worldwide. Malocclusion not only affects the patient's chewing function and oral health, but may also damage the facial aesthetics, thereby affecting the patient's psychological state and quality of life. Especially for patients with facial retraction and high mandibular angle, orthodontic treatment can significantly improve the side appearance and occlusion relationship through counterclockwise rotation of the mandible, which has important clinical value. However, the design of existing orthodontic plans mainly relies on the physician's experience and two-dimensional image judgment, and lacks scientific and systematic analysis tools, resulting in inaccurate treatment plan design, long treatment time and poor patient experience.

[0003] In the existing technology, CBCT imaging technology provides three-dimensional structural data of the jaw and dentition for oral orthodontics, providing a basis for orthodontic diagnosis and treatment plan design. However, in practical applications, how to effectively use these data to achieve accurate simulation of mandibular rotation and quantification of tooth displacement still faces many technical bottlenecks. The existing technology fails to fully integrate the dynamic characteristics of the temporomandibular joint, and cannot accurately reflect the anatomical relationship between the condyle and the fossa, resulting in unclear reference points for mandibular rotation; lacks a dynamic optimization method for rotation angle based on the contact pressure distribution model, making it difficult to achieve smooth adjustment and precise control of the rotation process; the existing tools do not adequately simulate the embedding and separation states of the upper and lower dentitions, and the quantitative calculation accuracy of vertical displacement is insufficient, which cannot meet the needs of orthodontic treatment for high-precision dynamic analysis. Summary of the invention

[0004] The purpose of the present invention is to provide an orthodontic visualization system and method for temporomandibular joint rotation simulation, so as to solve the limitations of the prior art, such as the inability to accurately simulate the dynamic characteristics of the temporomandibular joint, insufficient optimization of mandibular rotation, and inaccurate quantification of tooth displacement. By combining hard tissue image data extraction, contact pressure distribution modeling, dynamic optimization of rotation parameters, and tooth displacement calculation, high-precision simulation and dynamic smooth optimization of mandibular rotation are achieved, the vertical displacement of the upper and lower dentition is accurately quantified, and the condylar rotation trajectory, contact pressure distribution, and tooth embedding and separation status are intuitively displayed through a visualization terminal, which significantly improves the design accuracy and treatment effect of orthodontic solutions and provides scientific and comprehensive auxiliary support for clinical diagnosis and treatment.

[0005] In order to achieve the above object, the present invention is implemented by the following technical solutions:

[0006] An orthodontic visualization system for temporomandibular joint rotation simulation, comprising:

[0007] A hard tissue extraction module, used for automatically extracting hard tissue image data from the patient's head CBCT image, wherein the hard tissue image data includes an image of the fossa, an image of the maxilla, an image of the upper dentition, an image of the mandible, and an image of the lower dentition;

[0008] A joint recognition control module is used to receive images of the condyle and the fossa, automatically recognize the anatomical features of the condyle and the fossa by a method based on a feature point detection algorithm, extract fusion features based on a contact pressure distribution model, and generate optimized condyle rotation parameters;

[0009] The mandibular rotation control module is used to receive the rotation parameters and the external input mandibular plane angle adjustment value, dynamically and smoothly adjust the rotation angle based on the first-order and second-order change rates of the contact pressure, and optimize the counterclockwise rotation angle of the mandibular image in real time;

[0010] The dental imaging intelligent virtual module is used to identify the morphological contours of the upper and lower dentition, simulate the embedding or separation of teeth based on the rotation results, and calculate the vertical displacement of each tooth;

[0011] A microprocessor is used to integrate the processing results output by each module and generate image data for dynamic display;

[0012] The visualization terminal module is used to receive the image data, dynamically display the condylar rotation trajectory and contact pressure distribution, and color-mark the area through the set high pressure and low pressure thresholds to intuitively display the adjustment effect.

[0013] As a preferred solution of the present invention, the hard tissue extraction module includes:

[0014] The maxillary extraction unit is used to extract the maxillary bone image from the CBCT image and segment the upper dentition image associated with the maxillary bone;

[0015] The mandibular extraction unit is used to extract the mandibular image from the CBCT image and divide the mandibular bone into the ascending ramus and the body, wherein the top of the ascending ramus is the condyle, and the body corresponds to the lower dentition image;

[0016] The temporomandibular joint extraction unit is used to extract the condyle image from the ascending ramus and the fossa image from the CBCT image, and determine the anatomical relationship of the condyle and the fossa constituting the temporomandibular joint through anatomical analysis methods.

[0017] As a preferred solution of the present invention, the joint identification control module includes:

[0018] A morphological recognition unit is used to receive the condyle image and the fossa image, and recognize the anatomical morphological features of the condyle and the fossa through a feature point detection algorithm;

[0019] A position relationship recording unit is used to calculate the spatial displacement between the condyle feature point and the center of the articular fossa, and record the relative position relationship between the condyle image and the articular fossa image;

[0020] The feature fusion unit is used to extract the fusion feature of the condyle and the glenoid fossa by a dynamic weight modulation method, wherein the dynamic weight modulation method comprises:

[0021]

[0022] in, is the dynamic condylar feature fusion coefficient, which represents the fusion strength of feature point u at time t; Importance weights of condylar feature points are dynamically generated based on the anatomical features of the condyle and glenoid fossa; is the spatial displacement between the condylar feature point and the center of the fossa; α is the feature point fusion strength adjustment coefficient, which is used to control the fusion strength of the feature point; β is the condylar distance attenuation weight coefficient, which indicates the degree to which the feature point weight decays with spatial displacement; γ is the displacement attenuation rate parameter, which is used to control the attenuation rate of the feature point fusion strength with distance; δ is the feature point weight smoothing parameter, which is used to prevent weight fluctuations and ensure the stability of the fusion feature;

[0023] The rotation reference point extraction unit is used to extract the geometric center point of the condyle as the reference point for condyle rotation.

[0024] As a preferred solution of the present invention, the joint identification control module further comprises:

[0025] The contact pressure distribution calculation unit is used to calculate the contact pressure distribution model based on the contact pressure distribution in the contact area between the condyle and the glenoid fossa, wherein the contact pressure distribution model is:

[0026]

[0027] Where P(x,y) is the contact area pressure value, which indicates the force value at the contact point (x,y) between the condyle and the fossa; σ is the contact pressure peak value, which indicates the maximum pressure value in the contact area; x c ,y c is the contact pressure center coordinate, indicating the center position of the contact area pressure; r is the contact pressure diffusion radius, used to describe the distribution range of the pressure in the contact area;

[0028] The rotation parameter optimization unit is used to adjust the rotation angle of the condyle in real time according to the contact pressure distribution model. The correction formula of the rotation angle is:

[0029]

[0030] Among them, Δθ t is the correction value of condylar rotation angle, indicating the correction amount of condylar rotation at time t; θ current,t is the current condylar rotation angle; θ optimal The condylar rotation angle is optimized for the target and is calculated based on the contact pressure distribution model; 1 is the angle error correction coefficient, which is used to correct the deviation between the current angle and the target angle; 2 is the contact pressure sensitivity adjustment coefficient, which is used to reflect the influence of contact pressure on condylar rotation; 3 is the contact pressure change smoothing coefficient, which is used to smooth the influence of contact pressure change on rotation angle correction; It represents the first-order change rate of contact pressure, reflecting the rate at which the contact pressure changes with the condylar rotation angle; It represents the second-order change rate of contact pressure, reflects the change acceleration of contact pressure, and is used for smooth rotation angle correction.

[0031] As a preferred solution of the present invention, the jaw rotation control module includes:

[0032] The dynamic update unit is used to calculate the first-order change rate and the second-order change rate of the contact pressure in real time based on the contact pressure distribution model, and dynamically and smoothly adjust the rotation angle of the jaw according to the change rate.

[0033] As a preferred solution of the present invention, the dental image intelligent virtual module includes:

[0034] A contour recognition unit for recognizing the three-dimensional morphological contour of each tooth in the upper and lower dentition;

[0035] The displacement calculation unit is used to calculate the displacement of each tooth in the vertical direction based on the tooth morphology contour.

[0036] As a preferred solution of the present invention, the microprocessor comprises:

[0037] An angle calculation unit, used for generating a jaw rotation parameter according to a difference between a mandibular plane angle adjustment value and a standard value;

[0038] A data integration unit for integrating hard tissue imaging data, rotation parameters, contact pressure distribution data, and tooth displacement data;

[0039] The result generating unit is used to generate dynamic image data, wherein the dynamic image data includes a condylar rotation trajectory, a contact pressure distribution diagram, and a tooth displacement change diagram.

[0040] As a preferred solution of the present invention, the visual terminal module includes:

[0041] A dynamic display unit, used for dynamically displaying trajectory data and contact pressure distribution data after condylar rotation adjustment;

[0042] A contact pressure visualization unit, used for dynamically marking the pressure distribution data and distinguishing high-pressure areas from low-pressure areas by color;

[0043] The comparison generation unit is used to generate comparison results of the image data before and after orthodontic treatment.

[0044] A method for an orthodontic visualization system for temporomandibular joint rotation simulation, comprising the following steps:

[0045] S1: Automatically extract hard tissue image data from the patient's CBCT image, wherein the hard tissue image data includes a glenoid fossa image, a maxillary image, an upper dentition image, a mandibular image, and a lower dentition image;

[0046] S2: extracting the condyle image and the fossa image based on the hard tissue image data, identifying the anatomical features of the condyle and the fossa through a feature point detection algorithm, and determining the geometric center point of the condyle;

[0047] S3: Based on the spatial displacement between the condylar feature point and the center of the glenoid fossa, combined with the contact pressure distribution model, the distribution of the contact pressure is calculated, and the rotation parameters of the condyle are generated through the dynamic weight modulation method;

[0048] S4: receiving the mandibular plane angle adjustment value input from the outside, combining the condylar rotation parameter, calculating the initial rotation angle, and dynamically and smoothly optimizing the rotation angle based on the first-order change rate and the second-order change rate in the contact pressure distribution model to generate an optimized rotation angle;

[0049] S5: Based on the optimized rotation angle, the mandibular image is adjusted counterclockwise to generate rotationally adjusted mandibular image data;

[0050] S6: Based on the mandibular image data after the rotation adjustment, identify the morphological contours of the upper and lower teeth, simulate the embedded or separated state of the upper and lower teeth under the rotation adjustment, and calculate the displacement of each tooth in the vertical direction;

[0051] S7: integrating the rotated mandibular image data, tooth displacement data and contact pressure distribution data to generate dynamic image data;

[0052] S8: The dynamic image data is transmitted to a visualization terminal to dynamically display the rotation trajectory of the condyle, the contact pressure distribution, and the embedding and separation status of the upper and lower teeth, and the high-pressure area and the low-pressure area are marked by color to output a visualized correction result.

[0053] Optimize the integration results of dynamic image data based on tooth displacement data and rotation adjustment data;

[0054] Correction of the continuity of condylar rotation trajectory and contact pressure distribution data.

[0055] Compared with the prior art, the beneficial effects of the present invention are as follows: the present invention realizes high-precision visualization of temporomandibular joint rotation simulation and tooth displacement quantification through the collaborative work of various modules. The system automatically extracts hard tissue image data including the condyle, maxilla, mandible, upper dentition and lower dentition from the patient's CBCT image through the hard tissue extraction module, reduces manual intervention, and improves the efficiency and accuracy of data extraction. The joint recognition control module accurately identifies the anatomical features of the condyle and condyle based on the feature point detection algorithm, generates optimized condyle rotation parameters, and solves the problem of unclear rotation reference point. The mandibular rotation control module dynamically and smoothly adjusts the counterclockwise rotation angle of the mandible based on the first-order and second-order change rates in the contact pressure distribution model to ensure the smoothness and stability of the rotation process. The tooth image intelligent virtual module can identify the morphological contours of the upper and lower dentitions, simulate the embedded or separated state of the teeth, and accurately calculate the displacement of each tooth in the vertical direction, providing detailed tooth position information for the orthodontic plan. The microprocessor integrates the data output by each module to generate image data for dynamic display. The visual terminal module dynamically displays the condylar rotation trajectory, contact pressure distribution and tooth displacement status, and color-marks the area through the set high and low pressure thresholds to make the analysis results intuitive. This invention breaks through the limitations of traditional orthodontic schemes that rely on experience and two-dimensional images, significantly improves the accuracy of scheme design and treatment effects, shortens treatment time, and improves patients' treatment experience. It has important clinical application value and promotion prospects. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative labor.

[0057] in:

[0058] Figure 1 It is a schematic diagram of the modular structure of the system of the present invention;

[0059] Figure 2 A schematic diagram of an image of a maxillary bone and upper dentition teeth in an embodiment of the present invention;

[0060] Figure 3 A schematic diagram of an image of a mandibular bone and lower dentition teeth in an embodiment of the present invention;

[0061] Figure 4 A schematic diagram of an image of a temporomandibular joint in an embodiment of the present invention;

[0062] Figure 5 Flow chart of the method of the present invention. DETAILED DESCRIPTION

[0063] In order to make the purpose, technical solution and advantages of the embodiment of the present invention clearer, the technical solution of the embodiment of the present invention will be clearly and completely described below in conjunction with the drawings of the embodiment of the present invention. Obviously, the described embodiment is a part of the embodiment of the present invention, not all of the embodiments. Based on the described embodiment of the present invention, all other embodiments obtained by ordinary technicians in this field belong to the scope of protection of the present invention.

[0064] Example 1

[0065] like Figure 1 FIG. 1 is an embodiment of the present invention, which provides an orthodontic visualization system for simulating the rotation of the temporomandibular joint, comprising:

[0066] (1) Hard tissue extraction module

[0067] Used to automatically extract hard tissue image data from the patient's head CBCT image, the hard tissue image data including the image of the fossa, the image of the maxilla, the image of the upper dentition, the image of the mandible and the image of the lower dentition;

[0068] The hard tissue extraction module comprises:

[0069] The maxillary extraction unit is used to extract the maxillary bone image from the CBCT image and segment the upper dentition image associated with the maxillary bone, such as Figure 2 As shown, the upper dentition image is located in the maxilla;

[0070] The mandibular extraction unit is used to extract the mandibular image from the CBCT image and divide the mandibular into the ascending ramus and the body. Figure 3 As shown, the top of the ascending branch is the condyle, and the corresponding part of the body is the image of the lower dentition;

[0071] The temporomandibular joint extraction unit is used to extract the condyle image from the ascending ramus and the fossa image from the CBCT image, and determine the anatomical relationship of the condyle and the fossa constituting the temporomandibular joint through anatomical analysis methods, such as Figure 4 shown.

[0072] The hard tissue extraction module extracts the images of the fossa, maxilla, mandible, and upper and lower dentition from the patient's skull CBCT image data through image segmentation algorithms and bone tissue recognition technology, and classifies and labels different hard tissue areas to ensure the accuracy and completeness of data extraction, providing high-quality basic data for subsequent processing.

[0073] (2) Joint recognition control module

[0074] It is used to receive images of the condyle and the fossa, automatically identify the anatomical features of the condyle and the fossa by a method based on a feature point detection algorithm, extract fusion features based on a contact pressure distribution model, and generate optimized condyle rotation parameters;

[0075] The joint identification control module comprises:

[0076] A morphological recognition unit is used to receive the condyle image and the fossa image, and recognize the anatomical morphological features of the condyle and the fossa through a feature point detection algorithm;

[0077] A position relationship recording unit is used to calculate the spatial displacement between the condyle feature point and the center of the articular fossa, and record the relative position relationship between the condyle image and the articular fossa image;

[0078] The feature fusion unit is used to extract the fusion feature of the condyle and the glenoid fossa by a dynamic weight modulation method, wherein the dynamic weight modulation method comprises:

[0079]

[0080] in, is the dynamic condylar feature fusion coefficient, which represents the fusion strength of feature point u at time t; Importance weights of condylar feature points are dynamically generated based on the anatomical features of the condyle and glenoid fossa; is the spatial displacement between the condylar feature point and the center of the fossa; α is the feature point fusion strength adjustment coefficient, which is used to control the fusion strength of the feature point; β is the condylar distance attenuation weight coefficient, which indicates the degree to which the feature point weight decays with spatial displacement; γ is the displacement attenuation rate parameter, which is used to control the attenuation rate of the feature point fusion strength with distance; δ is the feature point weight smoothing parameter, which is used to prevent weight fluctuations and ensure the stability of the fusion feature;

[0081] The rotation reference point extraction unit is used to extract the geometric center point of the condyle as the reference point for condyle rotation.

[0082] Preferably, the joint identification control module further comprises:

[0083] The contact pressure distribution calculation unit is used to calculate the contact pressure distribution model based on the contact pressure distribution in the contact area between the condyle and the glenoid fossa, wherein the contact pressure distribution model is:

[0084]

[0085] Where P(x,y) is the contact area pressure value, which indicates the force value at the contact point (x,y) between the condyle and the fossa; σ is the contact pressure peak value, which indicates the maximum pressure value in the contact area; x c ,y c is the contact pressure center coordinate, indicating the center position of the contact area pressure; r is the contact pressure diffusion radius, used to describe the distribution range of the pressure in the contact area;

[0086] The rotation parameter optimization unit is used to adjust the rotation angle of the condyle in real time according to the contact pressure distribution model. The correction formula of the rotation angle is:

[0087]

[0088] Among them, Δθ t is the correction value of condylar rotation angle, indicating the correction amount of condylar rotation at time t; θ current,t is the current condylar rotation angle; θ optimal The condylar rotation angle is optimized for the target and is calculated based on the contact pressure distribution model; 1 is the angle error correction coefficient, which is used to correct the deviation between the current angle and the target angle; 2 is the contact pressure sensitivity adjustment coefficient, which is used to reflect the influence of contact pressure on condylar rotation; 3 is the contact pressure change smoothing coefficient, which is used to smooth the influence of contact pressure change on rotation angle correction; It represents the first-order change rate of contact pressure, reflecting the rate at which the contact pressure changes with the condylar rotation angle; It represents the second-order change rate of contact pressure, reflects the change acceleration of contact pressure, and is used for smooth rotation angle correction.

[0089] The joint recognition control module uses feature point detection algorithms to identify the anatomical features of the condyle and fossa, and extracts the fusion features of the two. Based on the pressure distribution modeling of the contact area and the spatial relationship between the condyle and fossa, it generates optimized condylar rotation parameters to ensure the accuracy of the rotation reference point and provide accurate mechanical basis for mandibular rotation.

[0090] (3) Jaw rotation control module

[0091] It is used to receive the rotation parameters and the external input of the mandibular plane angle adjustment value, dynamically and smoothly adjust the rotation angle based on the first-order and second-order change rates of the contact pressure, and optimize the counterclockwise rotation angle of the mandibular image in real time;

[0092] The jaw rotation control module comprises:

[0093] The dynamic update unit is used to calculate the first-order change rate and the second-order change rate of the contact pressure in real time based on the contact pressure distribution model, and dynamically and smoothly adjust the rotation angle of the jaw according to the change rate.

[0094] The mandibular rotation control module is based on the contact pressure distribution model. It calculates the influence trend of contact pressure on mandibular rotation through the first-order and second-order change rates, and dynamically optimizes the rotation angle. Combined with the smooth optimization algorithm, the counterclockwise rotation angle is adjusted in real time to ensure the stability and continuity of the rotation process and meet the requirements of biomechanical characteristics.

[0095] (4) Intelligent virtual module for dental imaging

[0096] It is used to identify the morphological contours of the upper and lower dentition, simulate the insertion or separation of teeth based on the rotation results, and calculate the vertical displacement of each tooth;

[0097] The dental imaging intelligent virtual module includes:

[0098] A contour recognition unit for recognizing the three-dimensional morphological contour of each tooth in the upper and lower dentition;

[0099] The displacement calculation unit is used to calculate the displacement of each tooth in the vertical direction based on the tooth morphology contour.

[0100] The dental imaging intelligent virtual module uses edge detection and morphological algorithms to extract the three-dimensional morphological contours of the upper and lower teeth, and dynamically simulates the embedded or separated state of the teeth based on the image data adjusted by jaw rotation. At the same time, the vertical displacement of each tooth is quantified through the three-dimensional coordinate transformation method, providing accurate displacement data and detailed auxiliary information for orthodontic design.

[0101] (5) Microprocessor

[0102] Used to integrate the processing results output by each module and generate image data for dynamic display;

[0103] The microprocessor comprises:

[0104] An angle calculation unit, used for generating a jaw rotation parameter according to a difference between a mandibular plane angle adjustment value and a standard value;

[0105] A data integration unit for integrating hard tissue imaging data, rotation parameters, contact pressure distribution data, and tooth displacement data;

[0106] The result generating unit is used to generate dynamic image data, wherein the dynamic image data includes a condylar rotation trajectory, a contact pressure distribution diagram, and a tooth displacement change diagram.

[0107] The microprocessor is responsible for integrating hard tissue imaging data, condylar rotation parameters, contact pressure distribution data and tooth displacement data to generate dynamic imaging data, including condylar rotation trajectory, contact pressure distribution diagram and tooth displacement change diagram, providing basic data support for visual display.

[0108] (6) Visual terminal module

[0109] It is used to receive the image data, dynamically display the condylar rotation trajectory and contact pressure distribution, and color-mark the area through the set high pressure and low pressure thresholds to intuitively display the adjustment effect.

[0110] The visual terminal module comprises:

[0111] A dynamic display unit, used for dynamically displaying trajectory data and contact pressure distribution data after condylar rotation adjustment;

[0112] A contact pressure visualization unit, used for dynamically marking the pressure distribution data and distinguishing high-pressure areas from low-pressure areas by color;

[0113] The comparison generation unit is used to generate comparison results of the image data before and after orthodontic treatment.

[0114] The visualization terminal module receives dynamic image data output by the microprocessor, and displays the condylar rotation trajectory, contact pressure distribution, and the embedding and separation status of the upper and lower teeth. The system sets high and low pressure thresholds and color-marks the contact pressure distribution area, making the data display intuitive and clear, which is convenient for doctors to observe and optimize orthodontic design.

[0115] Through the collaborative work of various modules, the present invention achieves accurate simulation of mandibular rotation, dynamic optimization of contact pressure and precise quantitative analysis of tooth displacement, providing a comprehensive scientific basis for orthodontic design and significantly improving treatment effects and clinical application value.

[0116] Example 2

[0117] like Figure 5 As shown, another embodiment of the present invention provides a method of an orthodontic visualization system for temporomandibular joint rotation simulation, comprising the following steps:

[0118] S1: Automatically extract hard tissue image data from the patient's CBCT image, wherein the hard tissue image data includes a glenoid fossa image, a maxillary image, an upper dentition image, a mandibular image, and a lower dentition image;

[0119] S2: extracting the condyle image and the fossa image based on the hard tissue image data, identifying the anatomical features of the condyle and the fossa through a feature point detection algorithm, and determining the geometric center point of the condyle;

[0120] S3: Based on the spatial displacement between the condylar feature point and the center of the glenoid fossa, combined with the contact pressure distribution model, the distribution of the contact pressure is calculated, and the rotation parameters of the condyle are generated through the dynamic weight modulation method;

[0121] S4: receiving the mandibular plane angle adjustment value input from the outside, combining the condylar rotation parameter, calculating the initial rotation angle, and dynamically and smoothly optimizing the rotation angle based on the first-order change rate and the second-order change rate in the contact pressure distribution model to generate an optimized rotation angle;

[0122] S5: Based on the optimized rotation angle, the mandibular image is adjusted counterclockwise to generate rotationally adjusted mandibular image data;

[0123] S6: Based on the mandibular image data after the rotation adjustment, identify the morphological contours of the upper and lower teeth, simulate the embedded or separated state of the upper and lower teeth under the rotation adjustment, and calculate the displacement of each tooth in the vertical direction;

[0124] S7: integrating the rotated mandibular image data, tooth displacement data and contact pressure distribution data to generate dynamic image data;

[0125] S8: The dynamic image data is transmitted to a visualization terminal to dynamically display the rotation trajectory of the condyle, the contact pressure distribution, and the embedding and separation status of the upper and lower teeth, and the high-pressure area and the low-pressure area are marked by color to output a visualized correction result.

[0126] In one embodiment, the integration result of the dynamic image data is optimized according to the tooth displacement data and the rotation adjustment data;

[0127] Correction of the continuity of condylar rotation trajectory and contact pressure distribution data.

[0128] In summary, the present invention innovatively realizes the dynamic simulation of temporomandibular joint rotation and orthodontic process by introducing the technical solutions of hard tissue image data extraction, condyle and fossa feature recognition, contact pressure distribution modeling and dynamic optimization, accurate calculation of tooth displacement and multi-dimensional visualization display. The present invention adopts automated image segmentation and recognition technology to accurately extract hard tissue data such as fossa, maxillary and mandibular dentition from CBCT images, provides complete and high-precision basic data support, and significantly improves the efficiency and reliability of data processing. Based on the anatomical characteristics of the condyle and fossa, the present invention calculates the condylar rotation parameters through the contact pressure distribution model, and combines the first-order rate of change and the second-order rate of change to dynamically and smoothly optimize the jaw rotation angle, breaking through the problems of unclear mandibular rotation benchmark and discontinuous angle adjustment in the prior art, and improving the accuracy and stability of orthodontic treatment. By extracting the three-dimensional morphological contours of the upper and lower dentition, the present invention can dynamically simulate the tooth embedding and separation states, and accurately quantify the displacement of each tooth in the vertical direction, solving the problem of insufficient quantification of tooth movement in traditional technology, and providing detailed data support for orthodontic scheme design. The present invention significantly improves the intuitiveness and operability of orthodontic analysis results by dynamically displaying the condylar rotation trajectory, contact pressure distribution and tooth displacement changes, and combines color markings of high-pressure and low-pressure areas, making it easier for doctors to quickly understand the analysis results and optimize treatment plans. The present invention has achieved a number of technological breakthroughs in mandibular rotation simulation, dynamic optimization of contact pressure and quantitative analysis of dentition displacement, effectively solving a number of technical problems in the prior art, not only improving the scientificity and accuracy of orthodontic design, but also significantly improving the treatment effect. It has important clinical application value and broad promotion prospects, fully reflecting its creativity.

[0129] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine different embodiments or examples described in this specification and the features of different embodiments or examples, unless they are contradictory.

[0130] Any process or method description in the flow chart or otherwise described herein can be understood to represent a module, fragment or portion of a code including one or more executable instructions for implementing the steps of a specific logical function or process. And the scope of the preferred embodiment of the present application includes other implementations, in which the functions may not be performed in the order shown or discussed, including in a substantially simultaneous manner or in a reverse order according to the functions involved.

[0131] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of various changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. An orthodontic visualization system for temporomandibular joint rotation simulation, characterized in that: include: A hard tissue extraction module, used for automatically extracting hard tissue image data from the patient's head CBCT image, wherein the hard tissue image data includes an image of the fossa, an image of the maxilla, an image of the upper dentition, an image of the mandible, and an image of the lower dentition; A joint recognition control module is used to receive images of the condyle and the fossa, automatically recognize the anatomical features of the condyle and the fossa by a method based on a feature point detection algorithm, extract fusion features based on a contact pressure distribution model, and generate optimized condyle rotation parameters; The mandibular rotation control module is used to receive the rotation parameters and the external input mandibular plane angle adjustment value, dynamically and smoothly adjust the rotation angle based on the first-order and second-order change rates of the contact pressure, and optimize the counterclockwise rotation angle of the mandibular image in real time; The dental imaging intelligent virtual module is used to identify the morphological contours of the upper and lower dentition, simulate the embedding or separation of teeth based on the rotation results, and calculate the vertical displacement of each tooth; A microprocessor is used to integrate the processing results output by each module and generate image data for dynamic display; The visualization terminal module is used to receive the image data, dynamically display the condylar rotation trajectory and contact pressure distribution, and color-mark the area through the set high pressure and low pressure thresholds to intuitively display the adjustment effect.

2. The orthodontic visualization system for temporomandibular joint rotation simulation according to claim 1, characterized in that: The hard tissue extraction module comprises: The maxillary extraction unit is used to extract the maxillary bone image from the CBCT image and segment the upper dentition image associated with the maxillary bone; The mandibular extraction unit is used to extract the mandibular image from the CBCT image and divide the mandibular bone into the ascending ramus and the body, wherein the top of the ascending ramus is the condyle, and the body corresponds to the lower dentition image; The temporomandibular joint extraction unit is used to extract the condyle image from the ascending ramus and the fossa image from the CBCT image, and determine the anatomical relationship of the condyle and the fossa constituting the temporomandibular joint through anatomical analysis methods.

3. The orthodontic visualization system for temporomandibular joint rotation simulation according to claim 1, characterized in that: The joint identification control module comprises: A morphological recognition unit is used to receive the condyle image and the fossa image, and recognize the anatomical morphological features of the condyle and the fossa through a feature point detection algorithm; A position relationship recording unit is used to calculate the spatial displacement between the condyle feature point and the center of the articular fossa, and record the relative position relationship between the condyle image and the articular fossa image; The feature fusion unit is used to extract the fusion feature of the condyle and the glenoid fossa by a dynamic weight modulation method, wherein the dynamic weight modulation method comprises: in, is the dynamic condylar feature fusion coefficient, which represents the fusion strength of feature point u at time t; Importance weights of condylar feature points are dynamically generated based on the anatomical features of the condyle and glenoid fossa; is the spatial displacement between the condylar feature point and the center of the fossa; α is the feature point fusion strength adjustment coefficient, which is used to control the fusion strength of the feature point; β is the condylar distance attenuation weight coefficient, which indicates the degree to which the feature point weight decays with spatial displacement; γ is the displacement attenuation rate parameter, which is used to control the attenuation rate of the feature point fusion strength with distance; δ is the feature point weight smoothing parameter, which is used to prevent weight fluctuations and ensure the stability of the fusion feature; The rotation reference point extraction unit is used to extract the geometric center point of the condyle as the reference point for condyle rotation.

4. The orthodontic visualization system for temporomandibular joint rotation simulation according to claim 3, characterized in that: The joint identification control module further comprises: The contact pressure distribution calculation unit is used to calculate the contact pressure distribution model based on the contact pressure distribution in the contact area between the condyle and the glenoid fossa, wherein the contact pressure distribution model is: Where P(x,y) is the contact area pressure value, which indicates the force value at the contact point (x,y) between the condyle and the fossa; σ is the contact pressure peak value, which indicates the maximum pressure value in the contact area; x c ,y c is the contact pressure center coordinate, indicating the center position of the contact area pressure; r is the contact pressure diffusion radius, used to describe the distribution range of the pressure in the contact area; The rotation parameter optimization unit is used to adjust the rotation angle of the condyle in real time according to the contact pressure distribution model. The correction formula of the rotation angle is: Among them, Δθ t is the correction value of condylar rotation angle, indicating the correction amount of condylar rotation at time t; θ current,t is the current condylar rotation angle; θ optimal The condylar rotation angle is optimized for the target, which is calculated based on the contact pressure distribution model; λ1 is the angle error correction coefficient, which is used to correct the deviation between the current angle and the target angle; λ2 is the contact pressure sensitivity adjustment coefficient, which is used to reflect the influence of contact pressure on condylar rotation; λ3 is the contact pressure change smoothing coefficient, which is used to smooth the influence of contact pressure change on rotation angle correction; It represents the first-order change rate of contact pressure, reflecting the rate at which the contact pressure changes with the condylar rotation angle; It represents the second-order change rate of contact pressure, reflects the change acceleration of contact pressure, and is used for smooth rotation angle correction.

5. The orthodontic visualization system for temporomandibular joint rotation simulation according to claim 1, characterized in that: The jaw rotation control module comprises: The dynamic update unit is used to calculate the first-order change rate and the second-order change rate of the contact pressure in real time based on the contact pressure distribution model, and dynamically and smoothly adjust the rotation angle of the jaw according to the change rate.

6. The orthodontic visualization system for temporomandibular joint rotation simulation according to claim 1, characterized in that: The dental imaging intelligent virtual module includes: A contour recognition unit for recognizing the three-dimensional morphological contour of each tooth in the upper and lower dentition; The displacement calculation unit is used to calculate the displacement of each tooth in the vertical direction based on the tooth morphology contour.

7. The orthodontic visualization system for temporomandibular joint rotation simulation according to claim 1, characterized in that: The microprocessor comprises: An angle calculation unit, used for generating a jaw rotation parameter according to a difference between a mandibular plane angle adjustment value and a standard value; The data integration unit is used to integrate hard tissue image data, rotation parameters, contact pressure distribution data and tooth displacement data; the result generation unit is used to generate dynamic image data, which includes condylar rotation trajectory, contact pressure distribution diagram and tooth displacement change diagram.

8. The orthodontic visualization system for temporomandibular joint rotation simulation according to claim 1, characterized in that: The visual terminal module comprises: A dynamic display unit, used for dynamically displaying trajectory data and contact pressure distribution data after condylar rotation adjustment; A contact pressure visualization unit, used for dynamically marking the pressure distribution data and distinguishing high-pressure areas from low-pressure areas by color; The comparison generation unit is used to generate comparison results of the image data before and after orthodontic treatment.

9. A method for an orthodontic visualization system for temporomandibular joint rotation simulation according to any one of claims 1 to 8, characterized in that: The following steps are involved: S1: Automatically extract hard tissue image data from the patient's CBCT image, wherein the hard tissue image data includes an image of the fossa, an image of the maxilla, an image of the upper dentition, an image of the mandible, and an image of the lower dentition; S2: extracting the condyle image and the fossa image based on the hard tissue image data, identifying the anatomical features of the condyle and the fossa through a feature point detection algorithm, and determining the geometric center point of the condyle; S3: Based on the spatial displacement between the condylar feature point and the center of the glenoid fossa, combined with the contact pressure distribution model, the distribution of the contact pressure is calculated, and the rotation parameters of the condyle are generated through the dynamic weight modulation method; S4: receiving the mandibular plane angle adjustment value input from the outside, combining the condylar rotation parameter, calculating the initial rotation angle, and dynamically and smoothly optimizing the rotation angle based on the first-order change rate and the second-order change rate in the contact pressure distribution model to generate an optimized rotation angle; S5: Based on the optimized rotation angle, the mandibular image is adjusted counterclockwise to generate rotationally adjusted mandibular image data; S6: Based on the mandibular image data after the rotation adjustment, identify the morphological contours of the upper and lower teeth, simulate the embedded or separated state of the upper and lower teeth under the rotation adjustment, and calculate the displacement of each tooth in the vertical direction; S7: integrating the rotated mandibular image data, tooth displacement data and contact pressure distribution data to generate dynamic image data; S8: The dynamic image data is transmitted to a visualization terminal to dynamically display the rotation trajectory of the condyle, the contact pressure distribution, and the embedding and separation status of the upper and lower teeth, and the high-pressure area and the low-pressure area are marked by color to output a visualized correction result.

10. The method of the orthodontic visualization system for temporomandibular joint rotation simulation according to claim 9, characterized in that: The following steps are also included: Optimize the integration results of dynamic image data based on tooth displacement data and rotation adjustment data; Correction of the continuity of condylar rotation trajectory and contact pressure distribution data.

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