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Proceedings Paper

A study on automated anatomical labeling to arteries concerning with colon from 3D abdominal CT images
Author(s): Bui Huy Hoang; Masahiro Oda; Zhengang Jiang; Takayuki Kitasaka; Kazunari Misawa; Michitaka Fujiwara; Kensaku Mori
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Paper Abstract

This paper presents an automated anatomical labeling method of arteries extracted from contrasted 3D CT images based on multi-class AdaBoost. In abdominal surgery, understanding of vasculature related to a target organ such as the colon is very important. Therefore, the anatomical structure of blood vessels needs to be understood by computers in a system supporting abdominal surgery. There are several researches on automated anatomical labeling, but there is no research on automated anatomical labeling to arteries concerning with the colon. The proposed method obtains a tree structure of arteries from the artery region and calculates features values of each branch. These feature values are thickness, curvature, direction, and running vectors of branch. Then, candidate arterial names are computed by classifiers that are trained to output artery names. Finally, a global optimization process is applied to the candidate arterial names to determine final names. Target arteries of this paper are nine lower abdominal arteries (AO, LCIA, RCIA, LEIA, REIA, SMA, IMA, LIIA, RIIA). We applied the proposed method to 14 cases of 3D abdominal contrasted CT images, and evaluated the results by leave-one-out scheme. The average precision and recall rates of the proposed method were 87.9% and 93.3%, respectively. The results of this method are applicable for anatomical name display of surgical simulation and computer aided surgery.

Paper Details

Date Published: 14 March 2011
PDF: 9 pages
Proc. SPIE 7962, Medical Imaging 2011: Image Processing, 79623R (14 March 2011); doi: 10.1117/12.878681
Show Author Affiliations
Bui Huy Hoang, Nagoya Univ. (Japan)
Masahiro Oda, Nagoya Univ. (Japan)
Zhengang Jiang, Nagoya Univ. (Japan)
Takayuki Kitasaka, Aichi Institute of Technology (Japan)
Kazunari Misawa, Aichi Cancer Ctr. (Japan)
Michitaka Fujiwara, Nagoya Univ. (Japan)
Kensaku Mori, Nagoya Univ. (Japan)

Published in SPIE Proceedings Vol. 7962:
Medical Imaging 2011: Image Processing
Benoit M. Dawant; David R. Haynor, Editor(s)

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