标题:A Shortest Path Based Interactive Segmentation Method of Putamen in MR Images
作者:Li Zhenguo; Dong Enqing; Yang Pei; Sun Wenyan; Zhong Weichong; Sun Huakui
通讯作者:Li, ZG
作者机构:[Li Zhenguo; Dong Enqing; Yang Pei; Sun Wenyan; Zhong Weichong; Sun Huakui] Shandong Univ, Sch Mech Elect & Informat Engn, Weihai, Weihai, Peoples R C 更多
会议名称:IEEE 28th Convention of Electrical and Electronics Engineers in Israel (IEEEI)
会议日期:DEC 03-05, 2014
来源:2014 IEEE 28TH CONVENTION OF ELECTRICAL & ELECTRONICS ENGINEERS IN ISRAEL (IEEEI)
出版年:2014
关键词:MR image segmentation; basal ganglia region; putamen segmentation;; Live-Wire algorithm
摘要:To accurately segment putamen with fuzzy edges of basal ganglia region in brain Magnetic Resonance (MR) images, a shortest path based interactive segmentation method is proposed in this paper. Considering anatomical features of putamen, a cost function is designed by using weight coefficients in sub-regions and sub-orientations, and the shortest path search is restrained in a region, so that the fuzzy edges of putamen can be identified effectively. The proposed method solves the problem of Live-wire, which is easy to be attracted by the edge of claustrum in detecting edge of putamen. A great deal of experiments demonstrates that proposed method can realize fast segmentation with accuracy and stability for putamen.
收录类别:CPCI-S
资源类型:会议论文
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