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Semi-automatic and accurate segmentation algorithm of dentures and jaws based on sag-aware harmonic scalar field

A scalar field, semi-automatic technology, applied in the medical field, can solve the problems of time-consuming extraction, low resolution, and teeth without clear gaps, etc., to achieve time-saving, convenient and robust effects

Active Publication Date: 2021-06-22
CHANGSHU INSTITUTE OF TECHNOLOGY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the process of using a 3D scanner to acquire a digital dental model, due to the overlapping interference of the crown, the accuracy of the measurement equipment, and the low resolution of the model surface reconstruction method, it is inevitable that there will be teeth between the teeth on the dental model. Adhesion between the teeth, there is no clear gap between the teeth, or the gap between the teeth and the gums is not clear, which will make it difficult to extract the gum line
In addition, since a dental model includes about 28 upper and lower jaws, it is also a very time-consuming process to extract all the teeth from the overall dental model

Method used

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  • Semi-automatic and accurate segmentation algorithm of dentures and jaws based on sag-aware harmonic scalar field
  • Semi-automatic and accurate segmentation algorithm of dentures and jaws based on sag-aware harmonic scalar field
  • Semi-automatic and accurate segmentation algorithm of dentures and jaws based on sag-aware harmonic scalar field

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Embodiment Construction

[0039] The specific embodiment of the invention is described in detail as follows:

[0040] Such as figure 1 As shown, the method for separating the crown from the jaw model of the present invention includes steps: 1. Read in and display the three-dimensional digital jaw model; 2. Manually pick up a point on the gap between adjacent teeth, and construct Local grid model; 3. Construct a sag-aware matrix on the local grid model, generate a scalar field on the model surface, and obtain a series of contours; 4. Filter the obtained series of contours to obtain the initial contour 5. Optimize the initial contour line to obtain accurate gum line; 6. Use the dividing line to divide all the crowns.

[0041] 1. Read in and display the 3D jaw mesh model,

[0042]The grid model is usually acquired by (not limited to) a 3D scanner, and its data format is a triangular grid model. The display platform is usually based on OpenGL, Qt, etc. The operator can interactively operate the model thr...

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Abstract

The invention discloses a semi-automatic precise segmentation algorithm for dentures and jaws based on the sag-sensing harmonic scalar field, which mainly includes the following steps: first, manually pick up a point on the gap between two adjacent teeth, and use the points picked up on both sides of each tooth The points of the local depression perception harmonic field matrix are constructed, and the harmonic scalar field of the local area of ​​the model is calculated; secondly, a series of isolines are obtained on the local grid, and a voting mechanism is used to select the best isoline as the tooth dividing line; finally, the A heuristic feature line extraction algorithm optimizes the segmentation line to obtain precise gum lines and achieve precise tooth segmentation. Using this algorithm can achieve accurate segmentation of teeth, does not require too much subsequent manual interaction, has a high degree of automation, and takes less time for comprehensive extraction, which can meet actual needs.

Description

technical field [0001] The invention belongs to the field of medical technology, and in particular relates to a semi-automatic and precise segmentation algorithm for dentures and jaws based on a sag-perceived harmonic scalar field. Background technique [0002] Digital technology has a wide range of applications in the field of personalized medicine, especially digital dentistry. Digital orthodontics is the process of using computer-aided design technology for orthodontics and planning a complete set of treatment plans on the basis of digital dental models. It mainly includes tooth segmentation, tooth restoration, tooth posture adjustment and gingiva follow-up deformation, tooth posture adjustment path interpolation, virtual occlusion, accessory installation and treatment plan formulation, etc. Among them, tooth segmentation is the first step of the whole orthodontic system and the basis of orthodontics. In the process of digital orthodontics, the operation of each step is...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/11G06T17/20G06K9/62
CPCG06T7/11G06T17/205G06T2207/30036G06F18/2135
Inventor 姜晓通
Owner CHANGSHU INSTITUTE OF TECHNOLOGY
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