Breast tissue 3D segmentation and visualization on MRI

Authors:
Hong Song;Xiangfei Cui;Feifei Sun
Affiliations:
School of Software, Beijing Institute of Technology, Haidian, Beijing, China;School of Computer Science & Technology, Beijing Institute of Technology, Haidian, Beijing, China;School of Computer Science & Technology, Beijing Institute of Technology, Haidian, Beijing, China
Venue:
Journal of Biomedical Imaging
Year:
2013

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Abstract

Tissue segmentation and visualization are useful for breast lesion detection and quantitative analysis. In this paper, a 3D segmentation algorithmbased 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.