阅读说明：本技术 测量牙列啮合应力指数及咬合功能预评估系统及方法 (Pre-evaluation system and method for measuring dentition meshing stress index and occlusion function ) 是由 王美青 端木正 于 2020-07-29 设计创作，主要内容包括：本发明公开了测量牙列啮合应力指数及咬合功能预评估系统及方法,通过三维位移传感器采集咬合运动轨迹,通过坐标定位和面部识别照相机进行咬合运动轨迹测量；牙列三维模型进行模型重建,去除噪声后进行光滑以及局部修复处理,得到用于工程计算的上下牙列整体模型；测量牙列的啮合应力分布后处理显示,对测量牙列数据结果进行数据重构与匹配；对牙列啮合应力分布进行计算仿真；咬合运动的三维运动轨迹后处理显示,进行咬合过程运动学分析；将三维牙列模型以及运动学分析数据化以及参数化,作为基本条件采用数值分析方法进行牙列咬合应力分布仿真与验证,从而为不同的咬合功能提供个性化评估。(The invention discloses a pre-evaluation system and a pre-evaluation method for measuring dentition meshing stress index and a meshing function, wherein a three-dimensional displacement sensor is used for acquiring a meshing motion track, and a coordinate positioning camera and a face recognition camera are used for measuring the meshing motion track; carrying out model reconstruction on the dentition three-dimensional model, removing noise, and then carrying out smoothing and local repair treatment to obtain an upper dentition overall model and a lower dentition overall model for engineering calculation; after the meshing stress distribution of the dentition is measured, processing and displaying are carried out, and data reconstruction and matching are carried out on the measured dentition data result; calculating and simulating dentition meshing stress distribution; post-processing and displaying the three-dimensional motion trail of the occlusion motion, and performing kinematic analysis of the occlusion process; the three-dimensional dentition model and the kinematics analysis are subjected to datamation and parameterization, and are used as basic conditions to simulate and verify dentition occlusion stress distribution by adopting a numerical analysis method, so that personalized evaluation is provided for different occlusion functions.)

1. The system for measuring the dentition meshing stress index and pre-evaluating the occlusion function is characterized by comprising a dentition model acquisition unit, a dentition meshing stress acquisition unit and an occlusion function measuring unit; the dentition model acquisition unit is used for determining a dentition three-dimensional model and reconstructing the model; the dentition meshing stress acquisition unit is used for acquiring dentition meshing stress distribution; the occlusion function measuring unit is used for measuring the whole process of various occlusion movements, and the measured kinematic analysis data is used for pre-evaluation of the occlusion function.

2. The system for pre-evaluating the measurement of the dentition meshing stress index and the occlusion function according to claim 1, wherein the dentition model acquisition unit extracts a three-dimensional scanned image of the dentition in the dentition model through the dentition scanning device to calculate the three-dimensional model of the dentition;

the dentition meshing stress acquisition unit comprises a dentition positioning device, a tooth occlusion sensor and a tooth stress transmission line; the tooth occlusion sensor is arranged on the dentition positioning device, is connected with the workstation through a transmission data line, transmits data to the workstation, and then is directly mapped to the measured pressure model for display;

the occlusion function measuring unit comprises a maxillofacial fixing device, an occlusion movement three-dimensional displacement sensor, an occlusion movement facial recognition camera and a three-dimensional coordinate positioning device; the occlusion movement three-dimensional displacement sensor is arranged on the maxillofacial fixing device, the occlusion movement facial recognition camera is positioned in front of the face, the occlusion movement three-dimensional displacement sensor and the occlusion movement facial recognition camera are connected with the workstation through transmission lines, and the maxillofacial dentition movement rule and related parameters are input into the workstation.

3. A method for measuring a dentition engagement stress index and occlusion function pre-evaluation system, according to any one of claims 1-2, comprising the steps of:

s01: collecting a dentition model: the dentition model acquisition unit extracts a dentition three-dimensional scanning image in the dentition model through a dentition scanning device and calculates the three-dimensional model of the dentition;

s02: collecting dentition meshing stress distribution: connecting a tooth occlusion sensor, attaching a sensor diaphragm to the dentition positioning device, selecting a reference point to position a dentition model, occluding teeth, and transmitting tooth stress data to a workstation;

s03: measuring occlusion movement parameters: fixing the maxillofacial surface by using a maxillofacial fixing device, acquiring an occlusion movement track through a three-dimensional displacement sensor, and measuring the occlusion movement track through coordinate positioning and a face recognition camera;

s04: and (3) reconstructing occlusion meshing measurement data: after the meshing stress distribution of the dentition is measured, processing and displaying are carried out, and data reconstruction and matching are carried out on the measured dentition data result;

s05: calculating an occlusion engagement stress index: calculating and simulating dentition meshing stress distribution based on an engineering model obtained after the extracted three-dimensional digital model is repaired;

s06: bite kinematics analysis: post-processing and displaying a three-dimensional motion track of the occlusion motion, determining a base point in the occlusion motion process, positioning a central point motion rule in different occlusion processes through the base point, and performing the kinematic analysis of the occlusion process;

s07: pre-evaluation of occlusion function: parameterizing the three-dimensional dentition model and the kinematic analysis data, and performing dentition occlusion stress distribution simulation and verification by adopting a numerical analysis method as a basic condition, thereby accurately analyzing an occlusion function according to different data.

4. The method of claim 3, wherein the step S01 comprises:

obtaining a plurality of basic oral cavity sizes according to different measuring individuals, and collecting a dentition model through a laser or CT scanning device; the dentition model acquisition unit is connected with the workstation through a transmission data line for data transmission, and three-dimensional point cloud data of dentition are extracted.

5. The method for measuring dentition engagement stress index and occlusion function pre-evaluation system as claimed in claim 3, wherein the step S03 comprises the steps of:

s31: determining a detection base point of the maxillofacial movement through the maxillofacial range positioned and measured by the fixed device;

s32: acquiring occlusion motion tracks of the front, the side and the lower part of the maxillofacial region by using a high-resolution camera;

s33: and synthesizing the occlusion movement tracks in three directions of the jaw and the face by taking the base point as a reference point and inputting the synthesized occlusion movement tracks into the workstation.

6. The method for measuring dentition engagement stress index and occlusion function pre-evaluation system as claimed in claim 3, wherein the step S05 comprises the steps of:

s51: after removing noise, carrying out smoothing and local repair treatment to obtain an upper dentition integral model and a lower dentition integral model for engineering calculation;

s52: setting seed points for the upper dentition integral model and the lower dentition integral model and carrying out grid division;

s53: defining material properties, and determining static load boundary calculation conditions for simulation.

7. The method for measuring dentition engagement stress index and occlusion function pre-evaluation system as claimed in claim 3, wherein in step S07, the occlusion process motion rule is measured in combination with step S06, so as to evaluate the occlusion function according to different occlusion motions.

8. The method for measuring dentition engagement stress index and occlusion function pre-evaluation system as claimed in claim 3, wherein the simulation in S07 comprises the following methods: newton's iteration method, lagrange interpolation method, Hermite's algorithm, Runge-Kutta algorithm, Euler algorithm, finite element method, finite volume method, finite difference method, or boundary element method.

Technical Field

The invention belongs to the technical field of dentition meshing detection, and particularly relates to a system and a method for measuring dentition meshing stress index and pre-evaluating a meshing function.

Background

The current occlusal function is related to the whole oromandibular system: temporomandibular joint, dental occlusion, oromandibular system muscles. When the parts are cooperatively matched, the health of the oral and jaw system can be ensured. It is important to develop a device and system for evaluating occlusion function. In fact, methods such as laser scanning, occlusion stress detector, electromyography and mandibular movement tracing are clinically used for detecting occlusion functions, and all devices have independence and combined use characteristics of different degrees, but can only be used as reference for doctors to evaluate occlusion functions at present, and no method capable of realizing pre-evaluation of dentition engagement stress indexes and occlusion functions exists. At present, clinical occlusion function evaluation basically depends on personal experience of doctors, no device or system for evaluating the occlusion function of teeth exists, a single occlusion stress tester is used for evaluating the size of occlusion force for a long time, quantitative indexes are lacked, sensitivity and specificity of the occlusion force tester are far away from clinical requirements, and the occlusion force tester belongs to operation with strong experience. Some electronic detection equipment can only carry out certain analysis to the interlock motion process, and jaw face movement track information has certain deviation during the interlock, influences the required accuracy of judging the interlock contact.

Disclosure of Invention

The present invention is directed to a system and method for pre-evaluating the index of dentition engagement stress and occlusion function to solve the above-mentioned problems.

In order to achieve the purpose, the invention adopts the following technical scheme:

the pre-evaluation system for measuring the dentition meshing stress index and the occlusion function comprises a dentition model acquisition unit, a dentition meshing stress acquisition unit and an occlusion function measurement unit; the dentition model acquisition unit is used for determining a dentition three-dimensional model and reconstructing the model; the dentition meshing stress acquisition unit is used for acquiring dentition meshing stress distribution; the occlusion function measuring unit is used for measuring the whole process of various occlusion movements, and the measured kinematic analysis data is used for pre-evaluation of the occlusion function.

Furthermore, the dentition model acquisition unit extracts a dentition three-dimensional scanning image in the dentition model through the dentition scanning device and calculates the three-dimensional model of the dentition;

the dentition meshing stress acquisition unit comprises a dentition positioning device, a tooth occlusion sensor and a tooth stress transmission line; the tooth occlusion sensor is arranged on the dentition positioning device, is connected with the workstation through a transmission data line, transmits data to the workstation, and then is directly mapped to the measured pressure model for display;

the occlusion function measuring unit comprises a maxillofacial fixing device, an occlusion movement three-dimensional displacement sensor, an occlusion movement facial recognition camera and a three-dimensional coordinate positioning device; the occlusion movement three-dimensional displacement sensor is arranged on the maxillofacial fixing device, the occlusion movement facial recognition camera is positioned in front of the face, the occlusion movement three-dimensional displacement sensor and the occlusion movement facial recognition camera are connected with the workstation through transmission lines, and the maxillofacial dentition movement rule and related parameters are input into the workstation.

Further, the method for measuring the dentition meshing stress index and the occlusion function pre-evaluation system comprises the following steps of:

s01: collecting a dentition model: the dentition model acquisition unit extracts a dentition three-dimensional scanning image in the dentition model through a dentition scanning device and calculates the three-dimensional model of the dentition;

s02: collecting dentition meshing stress distribution: connecting a tooth occlusion sensor, attaching a sensor diaphragm to the dentition positioning device, selecting a reference point to position a dentition model, occluding teeth, and transmitting tooth stress data to a workstation;

s03: measuring occlusion movement parameters: fixing the maxillofacial surface by using a maxillofacial fixing device, acquiring an occlusion movement track through a three-dimensional displacement sensor, and measuring the occlusion movement track through coordinate positioning and a face recognition camera;

s04: and (3) reconstructing occlusion meshing measurement data: after the meshing stress distribution of the dentition is measured, processing and displaying are carried out, and data reconstruction and matching are carried out on the measured dentition data result;

s05: calculating an occlusion engagement stress index: calculating and simulating dentition meshing stress distribution based on an engineering model obtained after the extracted three-dimensional digital model is repaired;

s06: bite kinematics analysis: post-processing and displaying a three-dimensional motion track of the occlusion motion, determining a base point in the occlusion motion process, positioning a central point motion rule in different occlusion processes through the base point, and performing the kinematic analysis of the occlusion process;

s07: pre-evaluation of occlusion function: parameterizing the three-dimensional dentition model and the kinematic analysis data, and performing dentition occlusion stress distribution simulation and verification by adopting a numerical analysis method as a basic condition, thereby accurately analyzing an occlusion function according to different data.

Further, step S01 specifically includes:

obtaining a plurality of basic oral cavity sizes according to different measuring individuals, and collecting a dentition model through a laser or CT scanning device; the dentition model acquisition unit is connected with the workstation through a transmission data line for data transmission, and three-dimensional point cloud data of dentition are extracted.

Further, step S03 includes the following steps:

s31: determining a detection base point of the maxillofacial movement through the maxillofacial range positioned and measured by the fixed device;

s32: acquiring occlusion motion tracks of the front, the side and the lower part of the maxillofacial region by using a high-resolution camera;

s33: and synthesizing the occlusion movement tracks in three directions of the jaw and the face by taking the base point as a reference point and inputting the synthesized occlusion movement tracks into the workstation.

Further, step S05 includes the following steps:

s51: after removing noise, carrying out smoothing and local repair treatment to obtain an upper dentition integral model and a lower dentition integral model for engineering calculation;

s52: setting seed points for the upper dentition integral model and the lower dentition integral model and carrying out grid division;

s53: defining material properties, and determining static load boundary calculation conditions for simulation.

Further, in step S07, the movement law of the occlusion process is measured in combination with the measurement in step S06, so as to evaluate the occlusion function according to different occlusion movements.

Further, the simulation in S07 includes the following methods: newton's iteration method, lagrange interpolation method, Hermite's algorithm, Runge-Kutta algorithm, Euler algorithm, finite element method, finite volume method, finite difference method, or boundary element method.

Compared with the prior art, the invention has the following technical effects:

extracting a dentition three-dimensional model in the dentition model through a dentition scanning device by a dentition acquisition module; connecting a dentition stress test sensor, and extracting stress data when teeth are occluded; acquiring an occlusion movement track through a three-dimensional displacement sensor, and measuring the occlusion movement track through a coordinate positioning camera and a face recognition camera; carrying out model reconstruction on the dentition three-dimensional model, removing noise, and then carrying out smoothing and local repair treatment to obtain an upper dentition overall model and a lower dentition overall model for engineering calculation; after the meshing stress distribution of the dentition is measured, processing and displaying are carried out, and data reconstruction and matching are carried out on the measured dentition data result; calculating and simulating dentition meshing stress distribution; post-processing and displaying the three-dimensional motion trail of the occlusion motion, and performing kinematic analysis of the occlusion process; the three-dimensional dentition model and the kinematics analysis are subjected to datamation and parameterization, and are used as basic conditions to simulate and verify dentition occlusion stress distribution by adopting a numerical analysis method, so that personalized evaluation is provided for different occlusion functions.

The invention utilizes the dentition three-dimensional measurement modeling technology and the stress occlusion test result, and combines the motion trail measurement curve to carry out numerical analysis, thereby comprehensively evaluating the soundness of occlusion function under different occlusion motion postures.

The invention provides a convenient and effective occlusion function evaluation device and system for occlusion function evaluation related to dentition orthognathic, restoration, orthodontics, tooth filling, periodontal and the like.

Drawings

FIG. 1 is a flow chart of the method of the present invention

FIG. 2 is a three-dimensional digital model of dentition of the present invention

FIG. 3 is a dentition stress bite test of the present invention.

FIG. 4 is a schematic view of the bite motion trajectory measurement of the present invention

FIG. 5 is a schematic diagram of a stress bite index simulation of the present invention.

Fig. 6 is a schematic view of the evaluation of the function of different bite movements of the present invention.

Detailed Description

The invention is further described below with reference to the accompanying drawings:

referring to fig. 1 to 6, the pre-evaluation system for measuring the dentition meshing stress index and the occlusion function includes a dentition model acquisition unit, a dentition meshing stress acquisition unit, and an occlusion function measurement unit; the dentition model acquisition unit is used for determining a dentition three-dimensional model and reconstructing the model; the dentition meshing stress acquisition unit is used for acquiring dentition meshing stress distribution; the occlusion function measuring unit is used for measuring the whole process of various occlusion movements;

the dentition model acquisition unit extracts a dentition three-dimensional scanning image in the dentition model through a dentition scanning device and calculates the three-dimensional model of the dentition;

the dentition meshing stress acquisition unit comprises a dentition positioning device, a tooth occlusion sensor and a tooth stress transmission line; the tooth occlusion sensor is arranged on the dentition positioning device, is connected with the workstation through a transmission data line, transmits data to the workstation, and then is directly mapped to the measured pressure model for display;

the occlusion function measuring unit comprises a maxillofacial fixing device, an occlusion movement three-dimensional displacement sensor, an occlusion movement facial recognition camera and a three-dimensional coordinate positioning device; the occlusion movement three-dimensional displacement sensor is arranged on the maxillofacial fixing device, the occlusion movement facial recognition camera is positioned in front of the face, the occlusion movement three-dimensional displacement sensor and the occlusion movement facial recognition camera are connected with the workstation through transmission lines, and the maxillofacial dentition movement rule and related parameters are input into the workstation.

The method for measuring the dentition meshing stress index and the occlusion function pre-evaluation system comprises the following steps of:

s01: collecting a dentition model: the dentition model acquisition unit extracts a dentition three-dimensional scanning image in the dentition model through a dentition scanning device and calculates the three-dimensional model of the dentition;

s02: collecting dentition meshing stress distribution: connecting a tooth occlusion sensor, attaching a sensor diaphragm to the dentition positioning device, selecting a reference point to position a dentition model, occluding teeth, and transmitting tooth stress data to a workstation;

s03: measuring occlusion movement parameters: fixing the maxillofacial surface by using a maxillofacial fixing device, acquiring an occlusion movement track through a three-dimensional displacement sensor, and measuring the occlusion movement track through coordinate positioning and a face recognition camera;

s04: and (3) reconstructing occlusion meshing measurement data: after the meshing stress distribution of the dentition is measured, processing and displaying are carried out, and data reconstruction and matching are carried out on the measured dentition data result;

s05: calculating an occlusion engagement stress index: calculating and simulating dentition meshing stress distribution based on an engineering model obtained after the extracted three-dimensional digital model is repaired;

s06: bite kinematics analysis: post-processing and displaying a three-dimensional motion track of the occlusion motion, determining a base point in the occlusion motion process, positioning a central point motion rule in different occlusion processes through the base point, and performing the kinematic analysis of the occlusion process;

s07: personalized occlusion function pre-evaluation: and performing datamation and parameterization on the three-dimensional dentition model and kinematic analysis, and performing dentition occlusion stress distribution simulation and verification by adopting a numerical analysis method as a basic condition, thereby evaluating occlusion functions according to different occlusion motions.

Step S01 specifically includes:

obtaining a plurality of basic oral cavity sizes according to different measuring individuals, and collecting a dentition model through a laser or CT scanning device; the dentition model acquisition unit is connected with the workstation through a transmission data line for data transmission, and three-dimensional point cloud data of dentition are extracted.

In step S03, the method includes the steps of:

s31: determining a detection base point of the maxillofacial movement through the maxillofacial range positioned and measured by the fixed device;

s32: acquiring occlusion motion tracks of the front, the side and the lower part of the maxillofacial region by using a high-resolution camera;

s33: and synthesizing the occlusion movement tracks in three directions of the jaw and the face by taking the base point as a reference point and inputting the synthesized occlusion movement tracks into the workstation.

In step S05, the method includes the steps of:

s51: after removing noise, carrying out smoothing and local repair treatment to obtain an upper dentition integral model and a lower dentition integral model for engineering calculation;

s52: setting seed points for the upper dentition integral model and the lower dentition integral model and carrying out grid division;

s53: defining material properties, and determining static load boundary calculation conditions for simulation.

In step S07, the method includes the steps of:

s71: basic analysis measurement data are obtained by the dentition acquisition module, the pressure occlusion stress distribution module and the occlusion function movement module in the steps S01-S03;

s72: performing system simulation and verification through dentition model-based and dentition occlusion three-dimensional stress measurement data in the steps S04-S05;

s73: and combining the measuring of the movement rule of the occlusion process in the step S06, thereby evaluating the occlusion function when different occlusion movements are performed according to individuation.

The simulation in S07 includes the following numerical simulation methods: newton's iteration method, lagrange interpolation method, Hermite's algorithm, Runge-Kutta algorithm, Euler algorithm, finite element method, finite volume method, finite difference method, or boundary element method.

The dentition model was collected as shown in fig. 2: and the dentition acquisition module extracts a dentition three-dimensional scanning image in the dentition model through a dentition scanning device and calculates the three-dimensional model of the dentition.

The dentition engagement stress distribution was collected as shown in fig. 3: collecting dentition meshing stress distribution: connecting a dentition stress test sensor, attaching a sensor membrane to an articulator, selecting a reference point to position a dentition model, occluding teeth, and transmitting tooth stress data to a system part;

measuring bite motion parameters as shown in fig. 4: fixing the maxillofacial surface (3 in the figure) by using a maxillofacial fixing device (2 in the figure), acquiring an occlusion movement track through a three-dimensional displacement sensor, and measuring the occlusion movement track through a coordinate positioning and face recognition high-speed camera (1 in the figure), wherein the method comprises the following steps:

step 1, determining a detection base point of maxillofacial motion through a maxillofacial range positioned and measured by a fixed device;

step 2, collecting occlusion movement tracks of the front, side and lower surfaces of the maxillofacial area by using a high-resolution camera;

and 3, synthesizing the occlusion movement tracks in the three directions of the jaw and the face by taking the base point as a reference point and inputting the occlusion movement tracks into the system.

And (3) reconstructing occlusion meshing measurement data: after the meshing stress distribution of the dentition is measured, processing and displaying are carried out, and data reconstruction and matching are carried out on the measured dentition data result;

calculating an occlusion engagement stress index: calculating and simulating dentition meshing stress distribution based on an engineering model obtained after the extracted three-dimensional digital model is repaired, wherein the method comprises the following steps:

step 1, smoothing and local repairing are carried out after noise is removed, and an upper dentition and lower dentition integral model for engineering calculation is obtained;

step 2, setting seed points for the upper dentition integral model and the lower dentition integral model and carrying out grid division;

and 3, defining material properties, and determining a static load boundary calculation condition for simulation.

Bite kinematics analysis: post-processing and displaying a three-dimensional motion track of the occlusion motion, determining a base point in the occlusion motion process, and positioning a central point motion rule in different occlusion processes through the base point to perform the kinematical analysis of the occlusion process;

personalized occlusion function pre-evaluation: three-dimensional dentition models and kinematic analysis datamation and parameterization are used as basic conditions to simulate and verify dentition occlusion stress distribution by adopting a numerical analysis method, so that occlusion functions are accurately analyzed according to different data, and the method comprises the following steps:

step 1, obtaining basic analysis measurement data through a dentition acquisition module, a pressure occlusion stress distribution module and an occlusion function movement module in claims 1-4;

step 2, performing system simulation and verification through dentition model-based and dentition occlusion three-dimensional stress measurement data in the claims 5-6;

and 3, combining the parameterized motion law of the occlusion process measured in the item 7 of the claim, thereby evaluating the occlusion function in different occlusion motions according to individuation.

It is to be understood that the above-described embodiments of the present invention are merely illustrative of or explaining the principles of the invention and are not to be construed as limiting the invention.