A Novel Active Contour Model for Medical Image Segmentation

作     者：付增良 叶铭 苏永琳 林艳萍 王成焘 

作者机构：Institute of Biomedical Manufacturing and Life Quality EngineeringShanghai Jiaotong University 

出 版 物：《Journal of Shanghai Jiaotong university(Science)》 (上海交通大学学报（英文版）)

年 卷 期：2010年第15卷第5期

页      面：549-555页

核心收录：

学科分类：081203[工学-计算机应用技术] 08[工学] 0835[工学-软件工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：the National Natural Science Foundation of China (Nos.30801302 and 30872906) the "Medical and Engineering Crossing" Foundation of Shanghai Jiaotong University (No.40YG2009ZD102) 

主　　题：image segmentation active contour intensity inhomogeneity region-based fitting energy edge indicator 

摘      要：A novel segmentation method for medical image with intensity inhomogeneity is *** the proposed active contour model,both region and gradient information are taken into *** former,i.e.,region-based fitting energy,draws upon the region information and guarantees the accurate extraction of inhomogeneous image s local *** latter,i.e.,an edge indicator,weights the length penalizing term to consider the gradient ***,signed distance penalizing term is also added to ensure accurate computation and avoid the time-consuming re-initialization of evolving level set *** for synthetic and real images demonstrate the feasibility and superiority of the proposed model.