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
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)
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.