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Automatic Liver Segmentation Using a Statistical Shape Model With Optimal Surface Detection
Zhang, Xing1; Tian, Jie1; Deng, Kexin2; Wu, Yongfang1; Li, Xiuli1
发表期刊IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
2010-10-01
卷号57期号:10页码:2622-2626
文章类型Article
摘要In this letter, we present an approach for automatic liver segmentation from computed tomography (CT) scans that is based on a statistical shape model (SSM) integrated with an optimal-surface-detection strategy. The proposed method is a hybrid method that combines three steps. First, we use localization of the average liver shape model in a test CT volume via 3-D generalized Hough transform. Second, we use subspace initialization of the SSM through intensity and gradient profile. Third, we deform 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Generalized Hough Transform (Ght) Liver Segmentation Minimum S-t Cut Principal Component Analysis (Pca) Statistical Shape Model (Ssm)
WOS标题词Science & Technology ; Technology
收录类别SCI
语种英语
WOS研究方向Engineering
WOS类目Engineering, Biomedical
WOS记录号WOS:000283590000019
引用统计
被引频次:109[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/3917
专题中国科学院分子影像重点实验室
通讯作者Tian, Jie
作者单位1.Chinese Acad Sci, Med Image Proc Grp, Inst Automat, Beijing 100190, Peoples R China
2.Xidian Univ, Life Sci Res Ctr, Xian 710071, Shanxi, Peoples R China
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GB/T 7714
Zhang, Xing,Tian, Jie,Deng, Kexin,et al. Automatic Liver Segmentation Using a Statistical Shape Model With Optimal Surface Detection[J]. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING,2010,57(10):2622-2626.
APA Zhang, Xing,Tian, Jie,Deng, Kexin,Wu, Yongfang,&Li, Xiuli.(2010).Automatic Liver Segmentation Using a Statistical Shape Model With Optimal Surface Detection.IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING,57(10),2622-2626.
MLA Zhang, Xing,et al."Automatic Liver Segmentation Using a Statistical Shape Model With Optimal Surface Detection".IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING 57.10(2010):2622-2626.
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