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International Journal of Biomedical Imaging
Volume 2013, Article ID 859746, 8 pages
http://dx.doi.org/10.1155/2013/859746
Research Article

Breast Tissue 3D Segmentation and Visualization on MRI

1School of Software, Beijing Institute of Technology, 5 South Zhongguancun Street, Haidian District, Beijing 100081, China
2School of Computer Science & Technology, Beijing Institute of Technology, 5 South Zhongguancun Street, Haidian District, Beijing 100081, China

Received 15 March 2013; Accepted 3 June 2013

Academic Editor: Zhenming Yuan

Copyright © 2013 Hong Song et al. 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.

Abstract

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.