A hierarchical local region-based sparse shape composition for liver segmentation in CT scans

作者：

Highlights：

• We propose a multilevel local region-based Sparse Shape Composition shape model.

• We present a blood vessel-based liver shape initialization method.

• We employ a hierarchical optimization strategy to make the framework efficient.

• The framework is successfully applied to segment liver tissue from CT images.

摘要

Highlights•We propose a multilevel local region-based Sparse Shape Composition shape model.•We present a blood vessel-based liver shape initialization method.•We employ a hierarchical optimization strategy to make the framework efficient.•The framework is successfully applied to segment liver tissue from CT images.

论文关键词：Liver segmentation,Active shape model,Sparse shape composition,Shape segmentation,Hierarchical model

论文评审过程：Received 21 November 2014, Revised 7 August 2015, Accepted 2 September 2015, Available online 14 September 2015, Version of Record 5 November 2015.

论文官网地址：https://doi.org/10.1016/j.patcog.2015.09.001