A hierarchical local region-based sparse shape composition for liver segmentation in CT scans
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- 作者：Changfa ShiaAuthor Vitae ; Yuanzhi Chenga ; yzcheng@hitwh.edu.cn" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Fei LiubAuthor Vitae ; Yadong WangaAuthor Vitae ; Jing BaibAuthor Vitae ; Shinichi TamuracAuthor Vitae
- 关键词：Liver segmentation ; Active shape model ; Sparse shape composition ; Shape segmentation ; Hierarchical model
- 刊名：Pattern Recognition
- 出版年：2016
- 出版时间：February 2016
- 年：2016
- 卷：50
- 期：Complete
- 页码：88-106
- 全文大小：8803 K
文摘
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We propose a multilevel local region-based Sparse Shape Composition shape model.
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We present a blood vessel-based liver shape initialization method.
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We employ a hierarchical optimization strategy to make the framework efficient.
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The framework is successfully applied to segment liver tissue from CT images.