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 ] School of Mechanical, Electrical and Information Engineering, Shand 更多
会议名称:2014 28th IEEE Convention of Electrical and Electronics Engineers in Israel, IEEEI 2014
会议日期:December 3, 2014 - December 5, 2014
来源:2014 IEEE 28th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2014
出版年:2014
DOI:10.1109/EEEI.2014.7005779
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.
© Copyright 2015 IEEE All rights reserved.
收录类别:EI
资源类型:会议论文
TOP