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Breast Tissue 3D Segmentation and Visualization on MRI
Tissue segmentation and visualization are useful for breast lesion detection and quantitative analysis. In this paper, a 3D segmentation algorithm based on Kernel-based Fuzzy C-Means (KFCM) is proposed to separate the breast MR images into different tissues. Then, an improved volume rendering algori...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3745868/ https://www.ncbi.nlm.nih.gov/pubmed/23983676 http://dx.doi.org/10.1155/2013/859746 |
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author | Song, Hong Cui, Xiangfei Sun, Feifei |
author_facet | Song, Hong Cui, Xiangfei Sun, Feifei |
author_sort | Song, Hong |
collection | PubMed |
description | Tissue segmentation and visualization are useful for breast lesion detection and quantitative analysis. In this paper, a 3D segmentation algorithm based on Kernel-based Fuzzy C-Means (KFCM) is proposed to separate the breast MR images into different tissues. Then, an improved volume rendering algorithm based on a new transfer function model is applied to implement 3D breast visualization. Experimental results have been shown visually and have achieved reasonable consistency. |
format | Online Article Text |
id | pubmed-3745868 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-37458682013-08-27 Breast Tissue 3D Segmentation and Visualization on MRI Song, Hong Cui, Xiangfei Sun, Feifei Int J Biomed Imaging Research Article Tissue segmentation and visualization are useful for breast lesion detection and quantitative analysis. In this paper, a 3D segmentation algorithm based on Kernel-based Fuzzy C-Means (KFCM) is proposed to separate the breast MR images into different tissues. Then, an improved volume rendering algorithm based on a new transfer function model is applied to implement 3D breast visualization. Experimental results have been shown visually and have achieved reasonable consistency. Hindawi Publishing Corporation 2013 2013-07-29 /pmc/articles/PMC3745868/ /pubmed/23983676 http://dx.doi.org/10.1155/2013/859746 Text en Copyright © 2013 Hong Song et al. https://creativecommons.org/licenses/by/3.0/ 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 Song, Hong Cui, Xiangfei Sun, Feifei Breast Tissue 3D Segmentation and Visualization on MRI |
title | Breast Tissue 3D Segmentation and Visualization on MRI |
title_full | Breast Tissue 3D Segmentation and Visualization on MRI |
title_fullStr | Breast Tissue 3D Segmentation and Visualization on MRI |
title_full_unstemmed | Breast Tissue 3D Segmentation and Visualization on MRI |
title_short | Breast Tissue 3D Segmentation and Visualization on MRI |
title_sort | breast tissue 3d segmentation and visualization on mri |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3745868/ https://www.ncbi.nlm.nih.gov/pubmed/23983676 http://dx.doi.org/10.1155/2013/859746 |
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