Title of article :
3D Intelligent Scissors for Dental Mesh Segmentation
Author/Authors :
Yang, Shuai School of Computer Science and Technology - Tiangong University - Tianjin, China , Wang, Ruikun School of Computer Science and Technology - Tiangong University - Tianjin, China , Zhao, Wenjie School of Computer Science and Technology - Tiangong University - Tianjin, China , Ke, Yongzhen School of Computer Science and Technology - Tiangong University - Tianjin, China
Pages :
11
From page :
1
To page :
11
Abstract :
Teeth segmentation is a crucial technologic component of the digital dentistry system. The limitations of the live-wire segmentation include two aspects: (1) computing the wire as the segmentation boundary is time-consuming and (2) a great deal of interactions for dental mesh is inevitable. For overcoming these disadvantages, 3D intelligent scissors for dental mesh segmentation based on live-wire is presented. Two tensor-based anisotropic metrics for making wire lie at valleys and ridges are defined, and a timesaving anisotropic Dijkstra is adopted. Besides, to improve with the smoothness of the path tracking back by the traditional Dijkstra, a 3D midpoint smoothing algorithm is proposed. Experiments show that the method is effective for dental mesh segmentation and the proposed tool outperforms in time complexity and interactivity.
Keywords :
3D , CT , Dijkstra , MMP
Journal title :
Computational and Mathematical Methods in Medicine
Serial Year :
2020
Full Text URL :
Record number :
2614618
Link To Document :
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