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Proceedings Paper

Development of automated extraction method of biliary tract from abdominal CT volumes based on local intensity structure analysis
Author(s): Kusuto Koga; Yuichiro Hayashi; Tomoaki Hirose; Masahiro Oda; Takayuki Kitasaka; Tsuyoshi Igami; Masato Nagino; Kensaku Mori
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Paper Abstract

In this paper, we propose an automated biliary tract extraction method from abdominal CT volumes. The biliary tract is the path by which bile is transported from liver to the duodenum. No extraction method have been reported for the automated extraction of the biliary tract from common contrast CT volumes. Our method consists of three steps including: (1) extraction of extrahepatic bile duct (EHBD) candidate regions, (2) extraction of intrahepatic bile duct (IHBD) candidate regions, and (3) combination of these candidate regions. The IHBD has linear structures and intensities of the IHBD are low in CT volumes. We use a dark linear structure enhancement (DLSE) filter based on a local intensity structure analysis method using the eigenvalues of the Hessian matrix for the IHBD candidate region extraction. The EHBD region is extracted using a thresholding process and a connected component analysis. In the combination process, we connect the IHBD candidate regions to each EHBD candidate region and select a bile duct region from the connected candidate regions. We applied the proposed method to 22 cases of CT volumes. An average Dice coefficient of extraction result was 66.7%.

Paper Details

Date Published: 21 March 2014
PDF: 10 pages
Proc. SPIE 9034, Medical Imaging 2014: Image Processing, 903448 (21 March 2014); doi: 10.1117/12.2043347
Show Author Affiliations
Kusuto Koga, Nagoya Univ. (Japan)
Yuichiro Hayashi, Nagoya Univ. (Japan)
Tomoaki Hirose, Nagoya Univ. (Japan)
Masahiro Oda, Nagoya Univ. (Japan)
Takayuki Kitasaka, Aichi Institute of Technology (Japan)
Tsuyoshi Igami, Nagoya Univ. (Japan)
Masato Nagino, Nagoya Univ. (Japan)
Kensaku Mori, Nagoya Univ. (Japan)

Published in SPIE Proceedings Vol. 9034:
Medical Imaging 2014: Image Processing
Sebastien Ourselin; Martin A. Styner, Editor(s)

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