CN-116531129-B - Intraoral scanner-based method for constructing oral cavity restoration model

CN116531129BCN 116531129 BCN116531129 BCN 116531129BCN-116531129-B

Abstract

The invention discloses an intraoral scanner-based method for constructing an oral cavity repair model, which is applied to the technical field of data processing and comprises the steps of scanning a preparation model through a desktop scanner to obtain a digital reference model. And scanning the preliminary body model by using an intraoral scanner to obtain a digital experimental model, performing 3D comparison analysis on the model, determining average absolute deviation, maximum positive uniform deviation and maximum negative average deviation, and obtaining a color coding diagram. Repeating the 3D analysis according to preset analysis conditions. And storing all 3D analysis results into a database, analyzing the data deviation value, and determining a modeling data deviation adjustment library. And obtaining user scanning data, adjusting the user scanning data by using a modeling data deviation adjustment library to determine modeling correction data, and constructing a repair model by using the modeling correction data. The intraoral scanner solves the technical problems of lower modeling precision and poor mouth rehabilitation effect in the modeling of the intraoral structure of the intraoral scanner in the prior art.

Inventors

Shi Lianrui
LI HONGBO
WANG FENG
XUE QIANG
LIU LIN
GUAN MIAOSHENG
LI ZONGZE
Huang Dongzong

Assignees

中国人民解放军总医院第六医学中心

Dates

Publication Date: 20260508
Application Date: 20230523

Claims (10)

1. The method for constructing the oral cavity repair model based on the intraoral scanner is characterized by comprising the following steps of: Creating a preparation model, wherein the preparation model is an oral cavity simulation model with different dental model parameters; Scanning the preliminary body model by adopting a desktop scanner to obtain a digital reference model; Scanning the preliminary body model by using an intraoral scanner to obtain a digital experimental model; 3D comparison analysis is carried out based on the digital reference model and the digital experimental model, average absolute deviation, maximum positive uniform deviation and maximum negative average deviation are determined, and a color coding diagram is obtained; Repeating 3D analysis according to preset analysis conditions to obtain average absolute dispersion, maximum positive uniform dispersion and maximum negative average dispersion corresponding to the preset analysis conditions and obtain a color coding diagram; Storing all 3D analysis results into a database, analyzing data deviation values, and determining a modeling data deviation adjustment library; and carrying out oral scanning of a user through an intraoral scanner to obtain user scanning data, adjusting the user scanning data by using the modeling data deviation adjustment library to determine modeling correction data, and constructing a repair model by using the modeling correction data.
2. The method of claim 1, wherein storing all 3D analysis results in a database for data bias value analysis, determining a modeled data bias adjustment library, comprises: Extracting first difference data of the same scanner of different models from all 3D analysis results; Extracting second difference data of different scanners of the same model from all 3D analysis results; evaluating the accuracy of the model construction data according to the first difference data and the second difference data, and determining the accuracy of each parameter; Extracting third difference data of the same model and the same scanner from all 3D analysis results; carrying out the authenticity evaluation of the model construction data according to the third difference data, and determining the authenticity of each parameter; analyzing by using the accuracy of each parameter and the authenticity of each parameter to determine a deviation adjustment coefficient; and constructing the modeling data deviation adjustment library based on the accuracy of each parameter and the authenticity of each parameter and combining the deviation adjustment coefficients.
3. The method of claim 1, wherein performing a 3D comparison analysis based on the digitized reference model, digitized experimental model, determining an average absolute dispersion, a maximum positive uniform dispersion, a maximum negative average dispersion, and obtaining a color-coded map, comprises: overlapping the pre-aligned and cut digital experimental model on a corresponding digital reference model, carrying out quantitative comparison between scanning data, and carrying out difference comparison according to the quantitative scanning data to obtain the average absolute deviation; Obtaining positive uniform dispersion according to a difference comparison result of the quantized scan data, and determining the maximum positive uniform dispersion from the positive uniform dispersion; Obtaining negative uniform dispersion according to the difference comparison result of the quantized scan data, and determining the maximum negative average dispersion from the negative uniform dispersion; and superposing the digital experimental model on a corresponding digital reference model for color coding to obtain the color coding diagram, wherein the color coding diagram is used for qualitatively evaluating the scanning data deviation.
4. The method of claim 1, wherein the predetermined analysis conditions comprise different models of the same scanner, the same model of the same scanner, wherein the different models are different axial wall defect level intramedullary canal fixation crowns.
5. The method of claim 2, wherein adjusting the user scan data using the modeling data bias adjustment library to determine modeling correction data, and using the modeling correction data to construct the repair model comprises: obtaining scanning parameters of an intraoral scanner; Matching in the modeling data deviation adjustment library based on the scanning parameters of the intraoral scanner to obtain deviation correction parameters of the same scanner; Extracting point cloud characteristics according to the user scanning data, and determining the defect degree of the user axial wall; Matching in the modeling data deviation adjustment library based on the user axis wall defect degree to obtain deviation correction parameters of the same model; correcting the scanning data of the user by using the correction parameters of the same scanner and the correction parameters of the same model to determine modeling correction data; constructing a 3D model of the user oral cavity by using the user scanning data; correcting the 3D model of the user oral cavity through the modeling correction data, and performing superposition analysis by using the corrected 3D model of the user oral cavity and a corresponding digital reference model to determine repair data; And constructing a user restoration model based on the restoration data on the basis of the user oral cavity 3D model after correction.
6. The method of claim 5, wherein constructing a 3D model of the user's mouth using the user scan data comprises: Determining a scanning position node according to the scanning data of a user, determining coordinates by using the scanning position node, and constructing a 3D coordinate system; based on the scanning position node, establishing a mapping relation between a 3D coordinate system and user scanning data; performing overlapping degree analysis on the node scanning data, and determining a splicing edge based on the overlapping degree; And splicing the user scanning data by using the spliced edges to construct a 3D model of the user oral cavity.
7. The method of claim 5, wherein performing point cloud feature extraction from the user scan data to determine a user axis wall defect level comprises: Inputting the user scanning data into a semantic segmentation model, wherein the user scanning data enters a first channel to obtain a first identification result, the user scanning data enters a second channel to obtain a second identification result, the first channel is provided with a first data extraction step length, the second channel is provided with a second data extraction step length, and the first step length is larger than the second step length; Fusing the image features in the first recognition result and the second recognition result to obtain a point cloud feature set; and performing shaft wall defect degree feature matching on the point cloud feature set, and determining the user shaft wall defect degree.
8. An intraoral scanner-based dental restoration model building system, comprising: The simulation model construction module is used for creating a preparation model, wherein the preparation model is an oral cavity simulation model with different tooth type parameters; the digital reference model acquisition module is used for scanning the preliminary body model by adopting a desktop scanner to acquire a digital reference model; The digital experimental model acquisition module is used for scanning the preparation body model by using an intraoral scanner to acquire a digital experimental model; The comparison analysis module is used for carrying out 3D comparison analysis based on the digital reference model and the digital experimental model, determining average absolute deviation, maximum positive uniform deviation and maximum negative average deviation and obtaining a color coding diagram; The repeated analysis module is used for repeatedly carrying out 3D analysis according to preset analysis conditions to obtain average absolute dispersion, maximum positive uniform dispersion and maximum negative average dispersion corresponding to the preset analysis conditions and obtain a color coding diagram; The deviation value analysis module is used for storing all 3D analysis results into a database, analyzing the data deviation value and determining a modeling data deviation adjustment library; And the repair model construction module is used for carrying out oral scanning on the user through the intraoral scanner to obtain user scanning data, adjusting the user scanning data by using the modeling data deviation adjustment library to determine modeling correction data, and carrying out repair model construction by using the modeling correction data.
9. An electronic device, the electronic device comprising: A memory for storing executable instructions; a processor for implementing the intraoral scanner-based dental restoration model construction method of any one of claims 1 to 7 when executing executable instructions stored in the memory.
10. A computer readable medium having stored thereon a computer program, which when executed by a processor, implements a method of intraoral scanner based dental restoration model construction as claimed in any one of claims 1 to 7.

Description

Intraoral scanner-based method for constructing oral cavity restoration model Technical Field The invention relates to the field of data processing, in particular to an intraoral scanner-based method for constructing an oral cavity restoration model. Background The intraoral scanner is used for 3D modeling equipment for an intraoral image, is limited by an intraoral space, so that the size of a scanning end of the intraoral scanner is limited, scanning equipment with higher precision cannot be adopted, the precision of an intraoral model constructed by the intraoral scanner is lower, and accurate modeling of the intraoral space cannot be realized. Therefore, when the intraoral scanner in the prior art performs modeling of the intraoral structure, the intraoral structure modeling method has the technical problems of low modeling precision and poor intraoral restoration effect. Disclosure of Invention The application solves the technical problems of lower modeling precision and poor oral cavity restoration effect when an oral cavity internal structure is modeled by an oral scanner in the prior art by providing the oral cavity restoration model construction method based on the oral scanner. The application provides an intraoral scanner-based dental restoration model construction method, which comprises the steps of creating a preparation model, scanning the preparation model by a desktop scanner to obtain a digital reference model, scanning the preparation model by the intraoral scanner to obtain a digital experiment model, carrying out 3D comparison analysis based on the digital reference model and the digital experiment model to determine average absolute deviation, maximum positive uniform deviation and maximum negative average deviation and obtain a color coding diagram, repeatedly carrying out 3D analysis according to preset analysis conditions to obtain average absolute deviation, maximum positive uniform deviation and maximum negative average deviation corresponding to the preset analysis conditions and obtain the color coding diagram, storing all 3D analysis results into a database to carry out data deviation value analysis to determine a modeling data deviation adjustment library, carrying out user oral scanning by the intraoral scanner to obtain user scanning data, carrying out adjustment to the user scanning data by using the modeling data deviation adjustment library to determine modeling correction data, and carrying out restoration model construction by using the modeling correction data. The application further provides an oral cavity restoration model construction system based on the intraoral scanner, a simulation model construction module used for creating a preparation model, a digital reference model acquisition module used for scanning the preparation model by adopting a desktop scanner to obtain a digital reference model, a digital experiment model acquisition module used for scanning the preparation model by using the intraoral scanner to obtain a digital experiment model, a comparison analysis module used for carrying out 3D comparison analysis on the basis of the digital reference model and the digital experiment model to determine average absolute deviation, maximum positive uniform deviation and maximum negative average deviation and obtain a color coding diagram, a repeated analysis module used for repeatedly carrying out 3D analysis according to preset analysis conditions to obtain average absolute deviation, maximum positive uniform deviation and maximum negative average deviation corresponding to the preset analysis conditions and obtain a color coding diagram, a deviation value analysis module used for storing all 3D analysis results into a database, carrying out data deviation value analysis to determine a modeling data deviation adjustment library, and a restoration model construction module used for carrying out oral cavity scanning by using the intraoral scanner to obtain user scanning data, carrying out modeling correction data by using the user data deviation adjustment modeling and carrying out modeling correction data on the restoration model construction module. The application also provides an electronic device, comprising: A memory for storing executable instructions; And the processor is used for realizing the oral cavity restoration model construction method based on the intraoral scanner when executing the executable instructions stored in the memory. The embodiment of the application provides a computer readable storage medium which stores a computer program, and when the program is executed by a processor, the method for constructing the oral cavity repair model based on the intraoral scanner is realized. The method for constructing the oral cavity repair model based on the intraoral scanner is to scan the preliminary body model through a desktop scanner to obtain a digital reference model. And scanning the preparation model by using an intraoral scanner to obtai