Breast Tissue Segmentation Using KFCM Algorithm on MR images

作     者：Hong Song Feifei Sun Xiangfei Cui Xiangbin Zhu Qingjie Zhao 

作者单位：School of SoftwareBeijing Institute of Technology School of Computer Science and TechnologyBeijing Institute of Technology 

会议名称：《2013年中国智能自动化学术会议》

会议日期：2013年

学科分类：08[工学] 080203[工学-机械设计及理论] 0802[工学-机械工程] 

基　　金：Project supported by the National Natural Science Foundation of China (Grant No.61240010) 

关 键 词：Breast MRI KFCM Breast tissue segmentation 

摘      要：Breast MRI segmentation is useful for assisting the clinician to detect suspicious *** this paper,an effective approach is proposed for segmenting the breast into different regions,each corresponding to a different *** 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 *** results have been shown visually and achieve reasonable consistency.