An automated analysis system for adjusting occlusal relationships

Abstract

The application discloses an automatic analysis system for adjusting occlusal relationship, and is applied to the field of stomatology. The system comprises a data acquisition module, a data preprocessing and modeling module, an occlusal analysis module, an automatic decision and occlusal relationship adjustment module and a result output module which are connected in sequence. The data acquisition module acquires multi-modal oral and maxillofacial system data related to occlusal analysis and adjustment of a patient. The data preprocessing and modeling module pre-processes the collected data, and constructs a multi-modal data fusion model. The occlusal analysis module performs biomechanical analysis and occlusal analysis on a current occlusal state. The automatic decision and occlusal relationship adjustment module determines occlusal relationship according to analysis results. The result output module outputs automatic decision results in a clinically usable form. The application introduces individualized modeling and biomechanical analysis technology, and provides a standardized and automatic occlusal analysis and occlusal relationship adjustment method for the above-mentioned clinic.

Description

Technical Field

[0001] This invention relates to the field of oral medicine technology, and more specifically to an automated analysis system for adjusting occlusal relationships. Background Technology

[0002] Analysis and assessment of occlusal function is a crucial part of oral clinical examination and the foundation for the diagnosis, analysis, and treatment of oral diseases. Many oral diseases, such as missing teeth, tooth wear, and temporomandibular joint disorders (TMD), are closely related to occlusal dysfunction. Therefore, it is necessary to analyze the patient's existing occlusal status before treatment. When a patient has occlusal dysfunction, or when the original occlusal relationship is missing or unstable, it is necessary to adjust or redefine the original occlusal relationship during treatment.

[0003] However, existing occlusal function analysis systems and occlusal relationship adjustment procedures all suffer from significant systematic and random errors, mainly including: 1. Current mainstream occlusal analysis systems based on facebows and articulators, while capable of simulating mandibular movements in vitro and making corresponding adjustments, suffer from non-repeatability and the following systematic errors: ① Using mechanical structures such as facebows and condyles to correspond to the patient's anatomical structure introduces significant systematic errors. Specifically, the hinge axis determined by the facebow is often unrelated to anatomical structure and function, thus the transferred occlusal relationship cannot provide accurate positional references; ② Due to the complexity of the tools and the numerous operational steps, the operation process involves significant random errors; ③ Transfer results cannot be preserved long-term: the patient's plaster model is easily damaged and cannot be restored. Once the model is damaged, occlusal analysis and adjustments need to be performed again; ④ Mandibular movement is a series of complex three-dimensional movements, not simply a combination of rotation and sliding movements. Simulating mandibular movement on the articulator using condyles does not correspond to the real situation.

[0004] 2. Existing technologies lack biomechanical analysis and automated decision-making capabilities: Traditional analytical methods largely rely on physicians' personal experience to interpret results, lacking a unified decision-making logic based on extensive clinical data. This leads to poor reproducibility and unstable clinical outcomes. Furthermore, existing methods are mostly static analyses, showing the position of occlusal contact and the distribution of occlusal forces, lacking analysis of the biomechanical characteristics of the entire stomatognathic system, and the ability to further translate the analysis results into automated decision-making for specific occlusal adjustment plans.

[0005] 3. Long operation time and low clinical efficiency: Existing occlusal analysis methods use facebow-architecture systems, which are expensive; transfer and analysis typically take 1-2 days, resulting in low efficiency; data is stored in the form of plaster models, consuming a large amount of storage space. These shortcomings prevent existing occlusal analysis tools from being used in routine clinical applications. Therefore, how to provide an automated analysis system for adjusting occlusal relationships is a problem that urgently needs to be solved by those skilled in the art. Summary of the Invention

[0006] In view of this, the present invention provides an automated analysis system for adjusting occlusal relationships. By collecting multimodal stomatognathic system data of patients, an individualized digital twin model of the stomatognathic system is constructed. Based on the model, the existing occlusal state is analyzed, and combined with biomechanical analysis, different occlusal adjustment schemes are evaluated. The system automatically outputs recommended occlusal relationship adjustment schemes, thereby providing objective and repeatable decision support for various clinical oral treatments.

[0007] To achieve the above objectives, the present invention provides the following technical solution: An automated analysis system for adjusting occlusal relationships includes a data acquisition module, a data preprocessing and modeling module, an occlusal analysis module, an automated decision-making and occlusal relationship adjustment module, and a result output module connected in sequence. The data acquisition module acquires multimodal stomatognathic system data related to the patient and occlusal analysis and adjustment. The data preprocessing and modeling module performs unified coordinateization, noise reduction, registration, and fusion processing on the acquired data to construct a multimodal data fusion model. The occlusal analysis module performs biomechanical and occlusal analysis on the current occlusal state. The automated decision-making and occlusal relationship adjustment module determines the occlusal relationship based on the analysis results. The result output module outputs the automated decision results in a clinically usable format.

[0008] Optional, multimodal stomatognathic system data includes craniofacial imaging data, digital model data of the dental arch, mandibular movement trajectory data, three-dimensional facial scan data, electromyographic signals of masticatory muscles, and occlusal force and distribution data.

[0009] Optionally, the data preprocessing and modeling module performs unified coordinateization, noise reduction, registration, and fusion processing on the collected data. Specifically, it performs threshold segmentation on the image data, extracts skeletal structures, reconstructs three-dimensional models of the maxilla, mandible, and temporomandibular joint, and performs point cloud registration between the digital dental arch model and the CT reconstructed model to place the dental arch model and the skeletal model in the same spatial coordinate system. It then maps the dental arch model, skeletal model, and functional data to the same digital space to establish a three-dimensional coordinate system for measuring parameters and adjusting occlusal relationships.

[0010] Optionally, biomechanical analysis specifically involves: automatically measuring the structural parameters of the stomatognathic system and calculating the force distribution of different parts of the stomatognathic system based on a theoretical model.

[0011] Optionally, the occlusion analysis specifically involves: obtaining the number, location, and distribution of contact points between the upper and lower jaw teeth; analyzing changes in tooth contact during simulated mandibular movement; and identifying occlusion interference points.

[0012] Optionally, the output content of the results output module includes: a visual comparison of the results before and after adjustment; the relative positional relationship of the upper and lower dentitions and jawbones, and the target occlusal relationship parameters; and digital data for orthodontic, occlusal adjustment, occlusal splint design, and restorative treatment.

[0013] As can be seen from the above technical solution, compared with the prior art, the present invention provides an automated analysis system for adjusting the bite relationship, which has the following beneficial effects: 1. Automating Occlusal Analysis and Adjustment Decisions: This invention utilizes automated modeling to construct an individualized digital model of the patient's stomatognathic system. This eliminates the systematic errors inherent in traditional techniques due to the mismatch between mechanical and anatomical structures. It systematically analyzes the patient's occlusal state, considering not only tooth contact relationships but also the anatomical structures of the maxilla and temporomandibular joint, the spatial positional changes of the mandible during functional movements, occlusal force distribution, and related biomechanical responses. The program then automatically generates occlusal adjustment results. This improves the functional rationality and safety of occlusal intervention plans, reducing reliance on physician experience in traditional clinical practice. 2. Improve the predictability and stability of occlusal relationship adjustment: By conducting virtual analysis and evaluation of different occlusal relationship adjustment schemes, the transformation from experience-driven to data-driven approaches in occlusal intervention has been realized. Through the advantages of biomechanical analysis, the impact of different schemes on joints, dentition and related tissues can be predicted before clinical implementation, reducing treatment risks, improving the stability of treatment effects, making the setting of treatment goals more targeted, and having a stronger ability to predict treatment outcomes. 3. Improve clinical efficiency and effectiveness: Only the patient's personalized data needs to be uploaded. The data can be permanently saved through an automated program. Occlusal analysis, treatment plan decision-making and risk assessment can be completed before treatment. It is applicable to various oral clinical cases and can also be used for remote collaboration, reducing the process of repeated trial fitting and adjustment in clinical practice, thereby shortening the treatment cycle and reducing the cost of treatment for patients. Attached Figure Description

[0014] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.

[0015] Figure 1 This is a schematic diagram of the automated analysis system for adjusting bite relationship according to the present invention; Figure 2 This is a schematic diagram of jaw position adjustment and occlusal plate design in an embodiment of the present invention; Figure 3 This is a schematic diagram of the three-dimensional coordinate system and mechanical model in an embodiment of the present invention; Figure 4 This is a schematic diagram of the three-dimensional coordinate system and the right side of the mechanical model in an embodiment of the present invention; Figure 5 This is a frontal schematic diagram of the three-dimensional coordinate system and mechanical model in an embodiment of the present invention; Figure 6 This is a schematic diagram of the three-dimensional coordinate system and the left side of the mechanical model in an embodiment of the present invention. Detailed Implementation

[0016] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0017] This invention discloses an automated analysis system for adjusting occlusal relationships, comprising a data acquisition module, a data preprocessing and modeling module, an occlusal analysis module, an automated decision-making and occlusal relationship adjustment module, and a result output module connected in sequence. The data acquisition module acquires multimodal stomatognathic system data related to the patient and occlusal analysis and adjustment. The data preprocessing and modeling module performs unified coordinateization, denoising, registration, and fusion processing on the acquired data to construct a multimodal data fusion model. The occlusal analysis module performs biomechanical and occlusal analysis on the current occlusal state. The automated decision-making and occlusal relationship adjustment module determines the occlusal relationship based on the analysis results. The result output module outputs the automated decision results in a clinically usable format.

[0018] Furthermore, multimodal stomatognathic system data includes craniofacial imaging data, digital model data of the dental arch, mandibular movement trajectory data (such as opening and closing the mouth, protrusion, and lateral movements), three-dimensional facial scan data (used to assist in establishing spatial coordinate relationships), electromyographic signals of masticatory muscles (used to reflect muscle functional status), and occlusal force and distribution data.

[0019] In this embodiment of the invention, the craniofacial imaging data is CT or CBCT imaging data, used to acquire the maxilla and mandible, temporomandibular joint and related anatomical structures, and stored in DICOM format; the dental arch digital model data is acquired by a dental digital scanner, including a static dental arch model and the alignment relationship of the maxilla and mandible in the intercuspal position (ICP), and stored in STL or PLY format.

[0020] Furthermore, the data preprocessing and modeling module performs unified coordinateization, noise reduction, registration, and fusion processing on the collected data. Specifically, it performs threshold segmentation on the image data, extracts skeletal structures, reconstructs three-dimensional models of the maxilla, mandible, and temporomandibular joint, and performs point cloud registration between the digital dental arch model and the CT reconstructed model to place the dental arch model and the skeletal model in the same spatial coordinate system. It then maps the dental arch model, skeletal model, and functional data to the same digital space to establish a three-dimensional coordinate system for measuring parameters and adjusting occlusal relationships.

[0021] In this embodiment of the invention, point cloud registration employs the Iterative Closest Point (ICP) algorithm or an improved version thereof.

[0022] Furthermore, the biomechanical analysis specifically involves: automatically measuring the structural parameters of the stomatognathic system and calculating the force distribution of different parts of the stomatognathic system based on a theoretical model.

[0023] In this embodiment of the invention, the calculation of the force distribution of different parts of the stomatognathic system based on the theoretical model is specifically as follows: Step 1: As Figures 3-6 As shown, a three-dimensional coordinate system and mechanical model are established: Establish a right-handed rectangular coordinate system with the midpoint of the line connecting the two condyles as the origin O. The y-axis is along the direction of the line connecting the centers of the two condyles (left negative, right positive), the x-axis passes through the central incisor and is perpendicular to the y-axis, and the z-axis is perpendicular to the xOy plane and points downward (consistent with the anatomical vertical direction). The external forces acting on the jawbone are divided into three parts: joint force, muscle force, and occlusal force. The joint forces on the left and right sides are applied at the center point of the condyle, determined by fitting the geometric center of the outer surface of the condylar head, denoted as LFJ and RFJ, respectively. The occlusal force is applied at the center point of the central fossa of the left and right second molars, denoted as LBM and RBM, respectively. Simultaneously, the coordinates of the midpoints of the two central incisors are identified, denoted as FBI. The umbo plane passes through the identified LBM, RBM, and FBI points. The line connecting LFJ and RFJ, and the straight line passing through FBI and perpendicular to this line, are defined as the y-axis and x-axis of the coordinate system, respectively.

[0024] The theoretical model assumes that the mandible is acted upon by three muscle groups: the temporalis, masseter, and medial pterygoid. The points of action and directions of action of these three muscle groups (temporalis LFT and RFT, masseter LFM and RFM, and medial pterygoid LFP and RFP) are confirmed using physiological and anatomical features and CT imaging data. The theoretical model assumes that the occlusal center is located at the LBM and RBM points, and that occlusal forces perpendicular to the occlusal plane are applied only to these two points of action.

[0025] Step 2: Solve for the joint forces based on the static equilibrium equations: According to the principle of rigid body statics, when the mandible is in a clenched state, the joint force, occlusal force and muscle force should satisfy 6 independent static equilibrium equations (∑F = 0, ∑M = 0).

[0026] The detailed derivation process of the three-dimensional static theoretical model of TMJ under force is as follows: The magnitude and direction of the bite force on the left and right sides are defined as follows: ; In the formula, and These are represented as the bite force vector on the left or right side and the normal vector of the bite plane, respectively. K LB and K RB These are the proportional coefficients of the bite force on the left and right sides, respectively. K LB and K RB The numerical range of all values ​​is 0 to 1, and K RB = 1 – K LB The magnitude and direction of the forces in each muscle are defined as follows: ; In the formula, and These are represented as a muscle force vector and its vector direction, respectively. and These are the proportional coefficients of muscle strength on the left and right sides, respectively; and The numerical range of all values ​​is 0 to 1, and K RF = 1 – K LF . yes and The ratio, k = The combined force of bite force and muscle force ( and It can be calculated using the following formula: ; ; The resultant torque of bite force and muscle force about the coordinate axis ( and It can be calculated using the following formula; ; ; in ,and , This can be viewed as a unit torque of a certain biting force or muscle force about the coordinate axis. Since the y-component of the joint force is neglected, the magnitude of the biting force and the magnitudes of the x and z components of the left and right joint forces can be obtained from the static equilibrium equations: ; ; ; ; ; ; Ultimately, the magnitude and direction of the forces on the left and right joints can be obtained using the following formula: ; In the formula, and This indicates the direction of the force on the left and right joints.

[0027] Furthermore, the occlusion analysis specifically involves: obtaining the number, location, and distribution of contact points between the upper and lower jaw teeth; analyzing changes in tooth contact during simulated mandibular movement; and identifying occlusion interference points.

[0028] In this embodiment of the invention, the internal algorithm determines different occlusal relationships after running the program based on the treatment goals and biomechanical trends. These relationships are then reviewed by a human reviewer and corrected if necessary.

[0029] Furthermore, the output of the results module specifically includes: visualized before-and-after comparison results; target occlusal parameters showing the relative positional relationships of the upper and lower dentitions and jawbones; and digital data used for orthodontic, occlusal adjustment, occlusal splint design, and restorative treatment, such as... Figure 2 As shown.

[0030] After treatment is administered, the results output module feeds back new clinical findings to the system for continuous model optimization.

[0031] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on the differences from other embodiments. The same or similar parts between the various embodiments can be referred to each other.

[0032] Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the invention. Therefore, the invention is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. An automated analysis system for adjusting bite relationship, characterized in that, The system comprises a data acquisition module, a data preprocessing and modeling module, an occlusion analysis module, an automated decision-making and occlusion relationship adjustment module, and a result output module, which are connected sequentially. The data acquisition module acquires multimodal stomatognathic system data related to the patient and occlusion analysis and adjustment. The data preprocessing and modeling module performs unified coordinateization, noise reduction, registration, and fusion processing on the acquired data to construct a multimodal data fusion model. The occlusion analysis module performs biomechanical and occlusion analysis on the current occlusion state. The automated decision-making and occlusion relationship adjustment module determines the occlusion relationship based on the analysis results. The result output module outputs the automated decision results in a clinically usable form.

2. The automated analysis system for adjusting bite relationship according to claim 1, characterized in that, Multimodal stomatognathic system data includes craniofacial imaging data, digital model data of the dental arch, mandibular movement trajectory data, three-dimensional facial scan data, electromyographic signals of masticatory muscles, and occlusal force and distribution data.

3. The automated analysis system for adjusting bite relationship according to claim 1, characterized in that, The data preprocessing and modeling module performs unified coordinateization, noise reduction, registration and fusion processing on the collected data. Specifically, it performs threshold segmentation on the image data, extracts the bony structure, reconstructs the three-dimensional models of the maxilla, mandible and temporomandibular joint, and performs point cloud registration between the digital model of the dental arch and the CT reconstruction model so that the dental arch model and the bony model are in the same spatial coordinate system. The dental arch model, skeletal model, and functional data are mapped to the same digital space to establish a three-dimensional coordinate system for measuring parameters and adjusting occlusal relationships.

4. The automated analysis system for adjusting bite relationship according to claim 1, characterized in that, Biomechanical analysis specifically involves: automatically measuring the structural parameters of the stomatognathic system and calculating the force distribution of different parts of the stomatognathic system based on theoretical models.

5. The automated analysis system for adjusting bite relationship according to claim 1, characterized in that, Occlusal analysis specifically involves: obtaining the number, location, and distribution of contact points between the upper and lower jaw teeth; analyzing the positional changes of the condyle and jawbone, changes in tooth contact and occlusal relationships during simulated mandibular movement, and identifying occlusal interference points.

6. The automated analysis system for adjusting bite relationship according to claim 1, characterized in that, The output of the results module includes: a visual comparison of the results before and after adjustment; the relative positional relationship of the upper and lower dentitions and jawbones, and the target occlusal relationship parameters; and digital data for orthodontic, occlusal adjustment, occlusal splint design, and restorative treatment.

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