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Tooth jaw semi-automatic accurate segmentation algorithm based on a depressed sensing harmonious scalar field

A segmentation algorithm and scalar field technology, applied in the medical field, can solve the problems of unclear gap between teeth and gums, no clear gap between teeth, difficulty in extracting gum line, etc., to achieve the effect of convenient implementation, time saving and less interaction

Active Publication Date: 2019-07-09
CHANGSHU INSTITUTE OF TECHNOLOGY
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  • Abstract
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  • Claims
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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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  • Tooth jaw semi-automatic accurate segmentation algorithm based on a depressed sensing harmonious scalar field
  • Tooth jaw semi-automatic accurate segmentation algorithm based on a depressed sensing harmonious scalar field
  • Tooth jaw semi-automatic accurate segmentation algorithm based on a depressed sensing harmonious scalar field

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Embodiment Construction

[0040] The specific embodiment of the invention is described in detail as follows:

[0041] like 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. Screen 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.

[0042] 1. Read in and display the 3D jaw mesh model,

[0043]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 throug...

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Abstract

The invention discloses a tooth jaw semi-automatic accurate segmentation algorithm based on a depressed sensing harmonious scalar field, and the algorithm mainly comprises the following steps: firstly, manually picking up a point in a slit between every two adjacent teeth, building a local depressed sensing harmonious field matrix through the picked points at the two sides of each tooth, and calculating the harmonious scalar field of a local area of a model; secondly, obtaining a series of contour lines on the local grid, and selecting an optimal contour line as a tooth segmentation line by utilizing a voting mechanism; and finally, optimizing the segmentation lines by using a heuristic feature line extraction algorithm to obtain accurate gingival lines so as to realize accurate segmentation of the teeth. By adopting the algorithm, accurate segmentation of teeth can be realized, subsequent excessive manual interaction is not needed, the automation degree is high, the comprehensive extraction time is short, and the actual requirements can be met.

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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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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