Rapid tooth segmentation method based on three-dimensional dental model

A jaw model and tooth technology, applied in neural learning methods, biological neural network models, 3D modeling, etc., can solve the problems of inability to accurately locate the boundaries of teeth and gums, fast and accurate segmentation, and inability to guarantee teeth, etc., to achieve segmentation speed Fast, accurate segmentation, the effect of increased segmentation speed

Pending Publication Date: 2020-12-15
上海微云实业集团有限公司
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Problems solved by technology

However, the current tooth segmentation method has the problem of being unable to accurately locate the gingival boundary of...

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  • Rapid tooth segmentation method based on three-dimensional dental model
  • Rapid tooth segmentation method based on three-dimensional dental model
  • Rapid tooth segmentation method based on three-dimensional dental model

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Embodiment Construction

[0039] The technical solution of the present invention will be explained more clearly and completely through the description of preferred embodiments of the present invention in conjunction with the accompanying drawings.

[0040] like figure 1 As shown, the tooth rapid segmentation method based on the three-dimensional jaw model of the preferred embodiment of the present invention comprises the following steps:

[0041] S1 performs data preprocessing on the input 3D dental model.

[0042] Specifically, step S1 further includes the following steps:

[0043] S11 Use the local surface fitting method to conduct discrete curvature analysis on the three-dimensional tooth model, and obtain the curvature value k(p) of each vertex p on the dental model based on the principle of maximum principal curvature;

[0044] S12 performing a stretching transformation on the curvature value based on histogram equalization, and performing a threshold operation on the transformed curvature value...

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Abstract

The invention provides a rapid tooth segmentation method based on a three-dimensional dental model. The method comprises the following steps: S1, carrying out data preprocessing on an input three-dimensional dental model; S2, re-modeling the shape on the three-dimensional dental model; s3, determining grid maximum path search based on an Astar algorithm; and S4, identifying gingival margin line and fusion region features by using a convolutional neural network, and separating out a single tooth. According to the segmentation method, each tooth can be rapidly and accurately segmented, and a better reference value is provided for doctors for subsequent denture repair.

Description

technical field [0001] The invention relates to a rapid tooth segmentation method based on a three-dimensional jaw model, belonging to the technical field of tooth model image processing. Background technique [0002] With the development of computer technology, the three-dimensional dental model can be easily digitized through intraoral or extraoral measurement technology, so that CAD / CAM technology is introduced into the oral restoration system, and it is used in clinical applications (such as orthodontics, oral cavity, etc.). and face surgery, etc.) with great success. [0003] Tooth segmentation is an important step in the computer-aided orthodontic system, and its main task is to accurately locate, identify and extract teeth from the patient's three-dimensional dental model. However, in the process of digitizing the dental model, due to factors such as overlapping interference between teeth caused by oral deformities, measurement equipment accuracy, and low resolution ...

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Application Information

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IPC IPC(8): G06T7/11G06T17/00G06N3/04G06N3/08
CPCG06T7/11G06T17/00G06N3/08G06T2207/10012G06T2207/20081G06T2207/20084G06T2207/20221G06T2207/30036G06N3/045
Inventor 刘大鹏
Owner 上海微云实业集团有限公司
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