Paper
14 March 2011 A study on automated anatomical labeling to arteries concerning with colon from 3D abdominal CT images
Bui Huy Hoang, Masahiro Oda, Zhengang Jiang, Takayuki Kitasaka, Kazunari Misawa, Michitaka Fujiwara, Kensaku Mori
Author Affiliations +
Proceedings Volume 7962, Medical Imaging 2011: Image Processing; 79623R (2011) https://doi.org/10.1117/12.878681
Event: SPIE Medical Imaging, 2011, Lake Buena Vista (Orlando), Florida, United States
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.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Bui Huy Hoang, Masahiro Oda, Zhengang Jiang, Takayuki Kitasaka, Kazunari Misawa, Michitaka Fujiwara, and Kensaku Mori "A study on automated anatomical labeling to arteries concerning with colon from 3D abdominal CT images", Proc. SPIE 7962, Medical Imaging 2011: Image Processing, 79623R (14 March 2011); https://doi.org/10.1117/12.878681
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Cited by 6 scholarly publications.
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KEYWORDS
Arteries

3D image processing

Colon

Computed tomography

Computing systems

Surgery

3D acquisition

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