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Local hybrid level-set method for MRA image segmentation
Hong, Qingqi; Li, Qingde; Tian, Jie
2010
会议名称10th IEEE International Conference on Computer and Information Technology, CIT-2010, 7th IEEE International Conference on Embedded Software and Systems, ICESS-2010, ScalCom-2010
会议录名称IEEE International Conference on Computer and Information Technology (CIT) IEEE International Conference on Embedded Software and Systems (ICESS)
页码1397-1402
会议日期2010
会议地点Bradford, UK
摘要In this paper, a local hybrid level-set method for medical image segmentation is presented. In proposed method, a locally fitted binary energy function is introduced into the hybrid level-set framework proposed by Zhang et al.. Compared with the globally specified threshold, the use of local binary fitting energy in the hybrid level-set method allows one to extract local image information more accurately, which is essential for enhancing the efficiency and effectiveness of the segmentation of inhomogeneous images. Experimental results on 3D medical images are presented to demonstrate the strengths of the proposed method.
关键词Mra Image Segmentation Local Hybrid Level-set Method
收录类别EI
文献类型会议论文
条目标识符http://ir.ia.ac.cn/handle/173211/5436
专题中国科学院分子影像重点实验室
通讯作者Tian, Jie
推荐引用方式
GB/T 7714
Hong, Qingqi,Li, Qingde,Tian, Jie. Local hybrid level-set method for MRA image segmentation[C],2010:1397-1402.
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