Breast tissue segmentation using KFCM algorithm on MR images

Abstract

Breast MRI segmentation is useful for assisting the clinician to detect suspicious regions. In this paper, an effective approach is proposed for segmenting the breast into different regions, each corresponding to a different tissue. The segmentation work flow comprises three key steps: MR Images preprocessing, locating breast-skin and breast-chest wall boundary by using OTSU thresholding algorithm, and segmenting fibroglandular and fatty tissues with applying the kernel-based fuzzy clustering algorithm (KFCM). The proposed method was applied to segment the clinical breast MR images. Experimental results have been shown visually and achieve reasonable consistency. © 2013 Springer-Verlag.