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3D Intelligent Scissors for Dental Mesh Segmentation

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 over...

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Detalles Bibliográficos
Autores principales: Yang, Shuai, Wang, Ruikun, Zhao, Wenjie, Ke, Yongzhen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7013310/
https://www.ncbi.nlm.nih.gov/pubmed/32089728
http://dx.doi.org/10.1155/2020/1394231
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author Yang, Shuai
Wang, Ruikun
Zhao, Wenjie
Ke, Yongzhen
author_facet Yang, Shuai
Wang, Ruikun
Zhao, Wenjie
Ke, Yongzhen
author_sort Yang, Shuai
collection PubMed
description 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.
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spelling pubmed-70133102020-02-23 3D Intelligent Scissors for Dental Mesh Segmentation Yang, Shuai Wang, Ruikun Zhao, Wenjie Ke, Yongzhen Comput Math Methods Med Research Article 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. Hindawi 2020-01-31 /pmc/articles/PMC7013310/ /pubmed/32089728 http://dx.doi.org/10.1155/2020/1394231 Text en Copyright © 2020 Shuai Yang et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Yang, Shuai
Wang, Ruikun
Zhao, Wenjie
Ke, Yongzhen
3D Intelligent Scissors for Dental Mesh Segmentation
title 3D Intelligent Scissors for Dental Mesh Segmentation
title_full 3D Intelligent Scissors for Dental Mesh Segmentation
title_fullStr 3D Intelligent Scissors for Dental Mesh Segmentation
title_full_unstemmed 3D Intelligent Scissors for Dental Mesh Segmentation
title_short 3D Intelligent Scissors for Dental Mesh Segmentation
title_sort 3d intelligent scissors for dental mesh segmentation
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7013310/
https://www.ncbi.nlm.nih.gov/pubmed/32089728
http://dx.doi.org/10.1155/2020/1394231
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