
Proceedings Paper
Automated incision line determination for virtual unfolded view generation of the stomach from 3D abdominal CT imagesFormat | Member Price | Non-Member Price |
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Paper Abstract
In this paper, we propose an automated incision line determination method for virtual unfolded view generation
of the stomach from 3D abdominal CT images. The previous virtual unfolding methods of the stomach
required a lot of manual operations such as determination of the incision line, which heavily tasks an operator.
In general, an incision line along the greater curvature of the stomach is used for making pathological
specimen. In our method, an incision line is automatically determined by projecting a centerline of the
stomach onto the gastric surface from a projection line. The projection line is determined by using positions
of the cardia and the pylorus, that can be easily specified by two mouse clicks. The process of our method
is performed as follows. We extract the stomach region using a thresholding and a labeling processes. We
apply a thinning process to the stomach region, and then we extract the longest line from the result of the
thinning process. We obtain a centerline of the stomach region by smoothing the longest line by using a
Bezier curve. The incision line is calculated by projecting the centerline onto the gastric surface from the
projection line. We applied the proposed method to 19 cases of CT images. We automatically determined
incision lines. Experimintal results showed our method was able to determine incision lines along the greater
curvature for most of 19 cases.
Paper Details
Date Published: 23 February 2012
PDF: 7 pages
Proc. SPIE 8315, Medical Imaging 2012: Computer-Aided Diagnosis, 83151M (23 February 2012); doi: 10.1117/12.911409
Published in SPIE Proceedings Vol. 8315:
Medical Imaging 2012: Computer-Aided Diagnosis
Bram van Ginneken; Carol L. Novak, Editor(s)
PDF: 7 pages
Proc. SPIE 8315, Medical Imaging 2012: Computer-Aided Diagnosis, 83151M (23 February 2012); doi: 10.1117/12.911409
Show Author Affiliations
Tomoaki Suito, Nagoya Univ. (Japan)
Masahiro Oda, Nagoya Univ. (Japan)
Takayuki Kitasaka, Aichi Institute of Technology (Japan)
Gen Iinuma M.D., National Cancer Ctr. Hospital East (Japan)
Masahiro Oda, Nagoya Univ. (Japan)
Takayuki Kitasaka, Aichi Institute of Technology (Japan)
Gen Iinuma M.D., National Cancer Ctr. Hospital East (Japan)
Kazunari Misawa M.D., Aichi Cancer Ctr. Hospital (Japan)
Shigeru Nawano M.D., International Univ. of Health and Welfare (Japan)
Kensaku Mori, Nagoya Univ. (Japan)
Shigeru Nawano M.D., International Univ. of Health and Welfare (Japan)
Kensaku Mori, Nagoya Univ. (Japan)
Published in SPIE Proceedings Vol. 8315:
Medical Imaging 2012: Computer-Aided Diagnosis
Bram van Ginneken; Carol L. Novak, Editor(s)
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