Automatic Liver Segmentation from CT Scans Based on a Statistical Shape Model

	Automatic Liver Segmentation from CT Scans Based on a Statistical Shape Model
	Zhang, X; Tian, J; Deng, K; Wu, YF; Li, XL; Tian, Jie
	2010
会议名称	2010 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC)
会议录名称	Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS)
页码	5351-5354
会议日期	2010
会议地点	Buenos Aires, ARGENTINA
摘要	Abstract— In this paper, we present an algorithm for automatic liver segmentation from CT scans which is based on a statistical shape model. The proposed method is a hybrid method that combines three steps: 1) Localization of the average liver shape model in a test CT volume via 3D generalized Hough transform; 2) Subspace initialization of the statistical shape model; 3) Deformation of the shape model to adapt to liver contour through an optimal surface detection approach based on graph theory. The proposed method is evaluated on MICCAI 2007 liver segmentation challenge datasets. The experiment results demonstrate availability of the proposed method.
关键词	-
文献类型	会议论文
条目标识符	http://ir.ia.ac.cn/handle/173211/5454
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	Zhang, X,Tian, J,Deng, K,et al. Automatic Liver Segmentation from CT Scans Based on a Statistical Shape Model[C],2010:5351-5354.