Automated liver segmentation from a postmortem CT scan based on a statistical shape model
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- 作者：Atsushi Saito ; Seiji Yamamoto…
- 关键词：Liver segmentation ; Postmortem CT ; Statistical shape model ; EM algorithm ; Autopsy imaging ; Synthesized ; based learning
- 刊名：International Journal of Computer Assisted Radiology and Surgery
- 出版年：2017
- 出版时间：February 2017
- 年：2017
- 卷：12
- 期：2
- 页码：205-221
- 全文大小：
- 刊物主题：Imaging / Radiology; Surgery; Health Informatics; Computer Imaging, Vision, Pattern Recognition and Graphics; Computer Science, general;
- 出版者：Springer International Publishing
- ISSN：1861-6429
- 卷排序：12
文摘
PurposeAutomated liver segmentation from a postmortem computed tomography (PMCT) volume is a challenging problem owing to the large deformation and intensity changes caused by severe pathology and/or postmortem changes. This paper addresses this problem by a novel segmentation algorithm using a statistical shape model (SSM) for a postmortem liver.