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arXiv 2201.05331eess.IVcs.CVcs.GR

Semi-automated Virtual Unfolded View Generation Method of Stomach from CT Volumes

Graduate School of Information Science, Nagoya University（名古屋大学信息科学研究科）；Information and Communications Headquarters, Nagoya University（名古屋大学信息通信本部）；School of Information Science, Aichi Institute of Technology（爱知工业大学信息科学学院）；Graduate School of Medicine, Nagoya University（名古屋大学医学研究科）；Department of Endoscopy, Nagoya University Hospital（名古屋大学医院内镜科）；National Cancer Center（国立癌症研究中心）；Aichi Cancer Center（爱知县癌症中心）；International University of Health and Welfare Mita Hospital（国际医疗福祉大学三田医院）
Masahiro Oda, Tomoaki Suito, Yuichiro Hayashi, Takayuki Kitasaka, Kazuhiro Furukawa, Ryoji Miyahara, Yoshiki Hirooka, Hidemi Goto, Gen Iinuma, Kazunari Misawa, … 展开作者

Masahiro Oda, Tomoaki Suito, Yuichiro Hayashi, Takayuki Kitasaka, Kazuhiro Furukawa, Ryoji Miyahara, Yoshiki Hirooka, Hidemi Goto, Gen Iinuma, Kazunari Misawa, Shigeru Nawano, Kensaku Mori

备注：
Accepted paper as a poster presentation at MICCAI 2013 (International Conference on Medical Image Computing and Computer-Assisted Intervention), Nagoya, Japan
发表信息：
Published in Proceedings of MICCAI 2013, LNCS 8149, pp.332-339, 2013
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英文摘要：

CT image-based diagnosis of the stomach is developed as a new way of diagnostic method. A virtual unfolded (VU) view is suitable for displaying its wall. In this paper, we propose a semi-automated method for generating VU views of the stomach. Our method requires minimum manual operations. The determination of the unfolding forces and the termination of the unfolding process are automated. The unfolded shape of the stomach is estimated based on its radius. The unfolding forces are determined so that the stomach wall is deformed to the expected shape. The iterative deformation process is terminated if the difference of the shapes between the deformed shape and expected shape is small. Our experiments using 67 CT volumes showed that our proposed method can generate good VU views for 76.1% cases.

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