CN111888029A - Pre-evaluation system and method for measuring dentition meshing stress index and occlusion function - Google Patents

Abstract

The invention discloses a system and method for measuring dentition meshing stress index and occlusal function pre-assessment. The occlusal motion trajectory is collected by a three-dimensional displacement sensor, and the occlusal motion trajectory is measured by a coordinate positioning and facial recognition camera; the dentition three-dimensional model is reconstructed and removed. After noise, smoothing and local restoration are performed to obtain the overall model of the upper and lower dentition for engineering calculation; the meshing stress distribution of the measured dentition is displayed after processing, and the data of the measured dentition is reconstructed and matched; the meshing stress of the dentition is The distribution is calculated and simulated; the three-dimensional motion trajectory of the occlusal motion is post-processed and displayed, and the kinematic analysis of the occlusal process is carried out; the three-dimensional dentition model and kinematic analysis are digitized and parameterized, and the numerical analysis method is used as the basic condition to analyze the occlusal stress distribution of the dentition. Simulation and validation to provide individual assessments for different occlusal functions.

Description

System and method for measuring dentition meshing stress index and pre-assessment of occlusal function

technical field

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

Background technique

At present, the occlusal function is related to the entire oral-maxillary system: temporomandibular joint, dental occlusion, and oro-maxillary system muscles. The health of the oral and jaw system can only be ensured when all parts work together in harmony. It is crucial to develop a device and system for assessing occlusal function. In fact, laser scanning, occlusal stress detector, electromyography, mandibular trajectory tracing and other methods are used clinically to detect occlusal function. Each device has the characteristics of independence and different degrees of joint use, but currently it can only be used as a doctor to evaluate occlusal function. At the time of reference, there is no method that can realize the dentition engagement stress index and the pre-assessment of occlusal function. At present, the clinical evaluation of occlusal function basically relies on the personal experience of doctors, and there is no device and system for evaluating the occlusal function of teeth. For a long time, a relatively single occlusal stress tester has been used to evaluate the occlusal force, which lacks quantitative indicators and its sensitivity , specificity are far from the clinical needs, are highly empirical operations. Some electronic detection equipment can only analyze the occlusal movement process to a certain extent, and there is a certain deviation in the maxillofacial movement trajectory information during occlusion, which affects the required accuracy of judging the occlusal contact.

SUMMARY OF THE INVENTION

The purpose of the present invention is to provide a system and method for measuring dentition meshing stress index and occlusal function pre-evaluation to solve the above problems.

To achieve the above object, the present invention adopts the following technical solutions:

A system for measuring dentition meshing stress index and occlusal function pre-evaluation system, including a dentition model acquisition unit, a dentition meshing stress acquisition unit and an occlusal function measurement unit; the dentition model acquisition unit is used to determine the three-dimensional dentition model and model reconstruction; The meshing stress acquisition unit is used to collect the meshing stress distribution of the dentition; the occlusal function measurement unit is used to measure the whole process of various occlusal movements, and the kinematic analysis data obtained by measurement are used for the pre-assessment of the occlusal function.

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

The dentition engagement stress acquisition unit includes a dentition positioning device, a dental occlusion sensor and a dental stress transmission line; the dental occlusion sensor is arranged on the dentition positioning device, and the dental occlusion sensor is connected to the workstation through a transmission data line. displayed on the measured pressure model;

The occlusal function measurement unit includes a maxillofacial fixation device, an occlusal movement three-dimensional displacement sensor, an occlusal movement facial recognition camera and a three-dimensional coordinate positioning device; The motion three-dimensional displacement sensor and the occlusal motion facial recognition camera are connected with the workstation through the transmission line, and the maxillofacial dentition movement law and related parameters are input into the workstation.

Further, the method for measuring the dentition engagement stress index and the occlusal function pre-assessment system includes the following steps:

S01: Collecting a dentition model: the dentition model collecting unit extracts a three-dimensional scan image of the dentition in the dentition model through a dentition scanning device, and calculates a three-dimensional model of the dentition;

S02: Collect dentition meshing stress distribution: connect the tooth occlusion sensor, stick the sensor diaphragm on the dentition positioning device, select the reference point to locate the dentition model, the teeth occlusion, and the tooth stress data are transmitted to the workstation;

S03: Measure the occlusal motion parameters: use the maxillofacial fixation device to fix the maxillofacial surface, collect the occlusal motion trajectory through the three-dimensional displacement sensor, and measure the occlusal motion trajectory through the coordinate positioning and facial recognition camera;

S04: Reconstruction of occlusal meshing measurement data: post-processing and display of the meshing stress distribution of the measured dentition, data reconstruction and matching of the measured dentition data results;

S05: Calculation of occlusal meshing stress index: Calculate and simulate the meshing stress distribution of the dentition based on the engineering model obtained after the restoration of the extracted 3D digital model;

S06: Occlusal kinematics analysis: post-processing display of the three-dimensional motion trajectory of the occlusal movement, determine the base point in the occlusal movement process, locate the movement law of the center point in different occlusal processes through the base point, and carry out the kinematic analysis of the occlusal process;

S07: Pre-assessment of occlusal function: The three-dimensional dentition model and kinematic analysis data are parameterized, and the numerical analysis method is used as the basic condition to simulate and verify the occlusal stress distribution of the dentition, so as to accurately analyze the occlusal function according to different data.

Further, step S01 specifically includes:

According to different measurement individuals, several basic oral dimensions are obtained, and the dentition model is collected by a laser or CT scanning device; the dentition model acquisition unit is connected to the workstation through a transmission data line for data transmission, and the 3D point cloud data of the dentition is extracted.

Further, in step S03, the following steps are included:

S31: Determine the detection base point of the maxillofacial movement by positioning the measured maxillofacial range with the device;

S32: Use a high-resolution camera to capture the occlusal trajectory of the anterior, lateral and inferior maxillofacial surfaces;

S33: Taking the base point as the reference point, the occlusal motion trajectory in the three directions of the maxillofacial region is synthesized and input into the workstation.

Further, in step S05, the following steps are included:

S51: After removing noise, perform smoothing and local restoration processing to obtain an overall model of the upper and lower dentition for engineering calculation;

S52: Set seed points and perform mesh division for the overall model of the upper and lower dentition;

S53: Define material properties, and determine static load boundary calculation conditions for simulation.

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

Further, the simulation in S07 includes the following methods: Newton iteration method, Lagrangian interpolation method, Hermite 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 present invention has the following technical effects:

The present invention extracts the dentition three-dimensional model in the dentition model through the dentition acquisition module through the dentition scanning device; connects the dentition stress test sensor to extract the stress data during occlusion; Coordinate positioning and facial recognition cameras are used to measure the occlusal movement trajectory; the three-dimensional model of the dentition is reconstructed, smoothed and partially restored after noise removal, and the overall model of the upper and lower dentition is obtained for engineering calculations; after measuring the meshing stress distribution of the dentition Processing and display, data reconstruction and matching of the measured dentition data; calculation and simulation of the dentition meshing stress distribution; post-processing and display of the three-dimensional motion trajectory of the occlusal movement, and kinematic analysis of the occlusal process; three-dimensional dentition model and motion The occlusal stress distribution of dentition is simulated and verified by numerical analysis method as the basic condition, so as to provide personalized evaluation for different occlusal functions.

The invention utilizes the dentition three-dimensional measurement modeling technology and the stress occlusion test results, and carries out numerical analysis in combination with the motion trajectory measurement curve, thereby comprehensively evaluating the soundness of the occlusal function under different occlusal motion postures.

The present invention provides a convenient and effective occlusal function assessment device and system for orthodontic, restoration, orthodontic, dental filling, periodontal and other related occlusal function assessments.

Description of drawings

Fig. 1 is the method flow chart of the present invention

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

FIG. 3 is the result of the dentition stress occlusion test of the present invention.

4 is a schematic diagram of the occlusal motion trajectory measurement of the present invention

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

FIG. 6 is a schematic diagram of the evaluation of different occlusal motor functions according to the present invention.

Detailed ways

Below in conjunction with accompanying drawing, the present invention is further described:

Please refer to Fig. 1 to Fig. 6, the system for measuring dentition meshing stress index and occlusal function pre-evaluation system, including dentition model acquisition unit, dentition meshing stress acquisition unit and occlusal function measurement unit; the dentition model acquisition unit is used to determine the dentition 3D model and model reconstruction; the dentition meshing stress acquisition unit is used to collect the dentition meshing stress distribution; the occlusal function measurement unit is used to measure the whole process of various occlusal movements;

The dentition model acquisition unit extracts the 3D scan image of the dentition in the dentition model through the dentition scanning device, and calculates the 3D model of the dentition;

The dentition engagement stress acquisition unit includes a dentition positioning device, a dental occlusion sensor and a dental stress transmission line; the dental occlusion sensor is arranged on the dentition positioning device, and the dental occlusion sensor is connected to the workstation through a transmission data line. displayed on the measured pressure model;

The occlusal function measurement unit includes a maxillofacial fixation device, an occlusal movement three-dimensional displacement sensor, an occlusal movement facial recognition camera and a three-dimensional coordinate positioning device; The motion three-dimensional displacement sensor and the occlusal motion facial recognition camera are connected with the workstation through the transmission line, and the maxillofacial dentition movement law and related parameters are input into the workstation.

The method for measuring dentition meshing stress index and occlusal function pre-assessment system includes the following steps:

S01: Collecting a dentition model: the dentition model collecting unit extracts a three-dimensional scan image of the dentition in the dentition model through a dentition scanning device, and calculates a three-dimensional model of the dentition;

S02: Collect dentition meshing stress distribution: connect the tooth occlusion sensor, stick the sensor diaphragm on the dentition positioning device, select the reference point to locate the dentition model, the teeth occlusion, and the tooth stress data are transmitted to the workstation;

S03: Measure the occlusal motion parameters: use the maxillofacial fixation device to fix the maxillofacial surface, collect the occlusal motion trajectory through the three-dimensional displacement sensor, and measure the occlusal motion trajectory through the coordinate positioning and facial recognition camera;

S04: Reconstruction of occlusal meshing measurement data: post-processing and display of the meshing stress distribution of the measured dentition, data reconstruction and matching of the measured dentition data results;

S05: Calculation of occlusal meshing stress index: Calculate and simulate the meshing stress distribution of the dentition based on the engineering model obtained after the restoration of the extracted 3D digital model;

S06: Occlusal kinematics analysis: post-processing display of the three-dimensional motion trajectory of the occlusal movement, determine the base point in the occlusal movement process, locate the movement law of the center point in different occlusal processes through the base point, and carry out the kinematic analysis of the occlusal process;

S07: Personalized pre-assessment of occlusal function: The three-dimensional dentition model and kinematic analysis are digitized and parameterized, and the numerical analysis method is used as the basic condition to simulate and verify the occlusal stress distribution of the dentition, so as to perform occlusion according to different occlusal movements Functional evaluation.

Step S01 specifically includes:

According to different measurement individuals, several basic oral dimensions are obtained, and the dentition model is collected by a laser or CT scanning device; the dentition model acquisition unit is connected to the workstation through a transmission data line for data transmission, and the 3D point cloud data of the dentition is extracted.

In step S03, the following steps are included:

S31: Determine the detection base point of the maxillofacial movement by positioning the measured maxillofacial range with the device;

S32: Use a high-resolution camera to capture the occlusal trajectory of the anterior, lateral and inferior maxillofacial surfaces;

S33: Taking the base point as the reference point, the occlusal motion trajectory in the three directions of the maxillofacial region is synthesized and input into the workstation.

In step S05, the following steps are included:

S51: After removing noise, perform smoothing and local restoration processing to obtain an overall model of the upper and lower dentition for engineering calculation;

S52: Set seed points and perform mesh division for the overall model of the upper and lower dentition;

S53: Define material properties, and determine static load boundary calculation conditions for simulation.

In step S07, the following steps are included:

S71: basic analysis and measurement data obtained through the dentition acquisition module, the pressure occlusal stress distribution module and the occlusal function movement module in the steps S01-S03;

S72: perform system simulation and verification through the dentition model-based and 3-dimensional occlusal stress measurement data in steps S04-S05;

S73: Combined with the measurement of the movement law of the occlusal process in step S06, the occlusal function evaluation during different occlusal movements is carried out according to the individuality.

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

As shown in Fig. 2, the dentition model is collected: the dentition acquisition module extracts the three-dimensional scan image of the dentition in the dentition model through the dentition scanning device, and calculates the three-dimensional model of the dentition.

Collect the stress distribution of dentition as shown in Figure 3: Collect the stress distribution of dentition: connect the dentition stress test sensor, attach the sensor diaphragm to the articulator, select the reference point to locate the dentition model, tooth occlusion, tooth stress data transfer to the system part;

Measure the occlusal motion parameters as shown in Figure 4: use the maxillofacial fixation device (2 in the figure) to fix the maxillofacial (3 in the figure), collect the occlusal movement trajectory through the three-dimensional displacement sensor, and use the coordinate positioning and facial recognition to take a high-speed camera (Figure 3). 1) To measure the occlusal motion trajectory, it will be divided into the following steps:

Step 1: Determine the detection base point of the maxillofacial movement by positioning the measured maxillofacial range with the device;

Step 2, use a high-resolution camera to capture the occlusal motion trajectory of the front, side and bottom of the maxillofacial region;

Step 3, taking the base point as the reference point, synthesizing the occlusal motion trajectory in the three directions of the maxillofacial region and inputting it into the system.

Reconstruction of occlusal meshing measurement data: post-processing and display of the meshing stress distribution of the measured dentition, data reconstruction and matching of the measured dentition data results;

Calculation of occlusal meshing stress index: Based on the engineering model obtained after the restoration of the extracted 3D digital model, the calculation and simulation of the dentition meshing stress distribution will be divided into the following steps:

Step 1, after removing noise, perform smoothing and local restoration processing to obtain an overall model of the upper and lower dentition for engineering calculation;

Step 2: Set seed points for the overall model of the upper and lower dentition and perform mesh division;

Step 3, define the material properties, and determine the static load boundary calculation conditions for simulation.

Occlusal kinematics analysis: The post-processing of the three-dimensional motion trajectory of the occlusal movement shows that the base point in the occlusal movement process needs to be determined, and the movement law of the center point in different occlusal processes is located by the base point, and the kinematic analysis of the occlusal process is carried out;

Personalized pre-assessment of occlusal function: The 3D dentition model and kinematic analysis are digitized and parameterized, and the numerical analysis method is used as the basic condition to simulate and verify the occlusal stress distribution of the dentition, so as to accurately analyze the occlusal function according to different data, It will be divided into the following steps:

Step 1, through the basic analysis measurement data obtained by the dentition acquisition module, the pressure occlusal stress distribution module and the occlusal function movement module in items 1-4 of the claims;

Step 2, carry out system simulation and verification based on the dentition model and the three-dimensional stress measurement data of dentition occlusion in items 5-6 of the claim;

In step 3, the parameterized motion law of the occlusal process is measured in combination with the 7th item of the claim, so as to perform the occlusal function evaluation during different occlusal motions according to the individualization.

It should be understood that the above-mentioned specific embodiments of the present invention are only used to illustrate or explain the principle of the present invention, but not to limit the present invention.

Claims (8)

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.

Images