Cargando…
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...
Autores principales: | , , , |
---|---|
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 |
_version_ | 1783496380250062848 |
---|---|
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. |
format | Online Article Text |
id | pubmed-7013310 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT yangshuai 3dintelligentscissorsfordentalmeshsegmentation AT wangruikun 3dintelligentscissorsfordentalmeshsegmentation AT zhaowenjie 3dintelligentscissorsfordentalmeshsegmentation AT keyongzhen 3dintelligentscissorsfordentalmeshsegmentation |