Triangular grid tooth segmentation method based on path planning

Abstract

The invention provides a triangular grid tooth segmentation method based on path planning. The method comprises the following steps that 1, tooth anatomical feature points are selected so as to determine the plane of occlusion; 2, tooth feature areas are extracted by using curvature information of a dental model; 3, projection of the feature areas is performed so as to perform fitting of dental arches; 4, gum lines are searched based on a secondary path planning algorithm; 5, the gum lines are segmented and tooth slit lines are searched; and 6, the gum lines and the tooth slit lines are combined to form tooth segmentation lines and the teeth are segmented based on a region growing algorithm. The triangular grid tooth segmentation method based on path planning has less artificial intervention and parameter adjustment and is suitable for various dental models of the problems of the distorted teeth and the crowded dental arches so as to have important significance in enhancing the effect of orthodontic treatment.

Description

technical field [0001] The invention belongs to the field of computer graphics, and relates to a triangular mesh tooth segmentation method based on path planning for automatically segmenting all teeth from a triangular mesh dental jaw model. Background technique [0002] With the continuous development of three-dimensional measurement and computer graphics technology, computer-aided diagnosis and restoration have been widely used in orthodontics. In the orthodontic system, in order to simulate the movement of the teeth and gums and formulate a treatment plan, it is necessary to first segment each tooth from the digital 3D jaw model. Therefore, the accuracy and integrity of the segmentation are directly related to the final treatment effect and design cost. [0003] Most of the current 3D tooth segmentation methods use graphic image processing technology to extract the tooth morphological features of the jaw model to separate individual individual teeth. However, due to the ...

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Problems solved by technology

[0003] Most of the current 3D tooth segmentation methods use graphic image processing technology to extract the tooth morphological features of the jaw model to separate individual individual teeth. However, due to the limited accuracy of 3D scanning, the boundary between teeth and gums on the triangular mesh jaw The lines and the boundary lines between adjacent teeth are usually fused together, and the tooth shapes are different, so it is difficult to obtain good segmentation results with traditional segmentation methods, especially when the patient has deformed teeth, this problem is particularly prominent

Wu et al. (K.Wu, L.Chen, J.Li, et al. Tooth segmentation on dental meshes using morpholog

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