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Paper Abstract and Keywords
Presentation 2013-05-24 16:45
A method for automated extraction of biliary tract from 3D abdominal contrast CT images based on local intensity structure analysis
Kusuto Koga, Yuichiro Hayashi, Tomoaki Hirose, Masahiro Oda (Nagoya Univ.), Takayuki Kitasaka (Aichi Inst. of Tech.), Tsuyoshi Igami, Masato Nagino, Kensaku Mori (Nagoya Univ.) IE2013-18 PRMU2013-11 MI2013-11
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper, we propose a method for automated extraction of the biliary tract from abdominal contrast CT volumes based on local intensity structure analysis. Our method utilizes a dark linear structure enhancement (DLSE) filter based on the local intensity structure analysis of the eigenvalues of the Hessian matrix. Our method extracts the intrahepatic bile duct (IHBD) and the extrahepatic biliary tract (EHBT) separately. Firstly, we extract the IHBD region by using the DLSE filter. The DLSE filter cannot enhance the EHBT effectively because intensity value of the soft tissue in the neighborhood of the EHBT is very similar to that of the EHBT. Therefore, we generate a modified image, that is obtained by enhancing the soft tissue and biliary wall from the CT volume. Then, we extract the EHBT using DLSE filter and a region growing method from the modified image. Finally, we obtain the region of biliary tract by combining IHBD and EHBT regions. In the experiment using 16 cases of CT volumes, a medical doctor evaluated that our approach produced good results in half of the cases.
Keyword (in Japanese) (See Japanese page) 
(in English) biliary / bile duct / cholangiectasis / abdominal contrast CT images / local intensity structure analysis / / /  
Reference Info. IEICE Tech. Rep., vol. 113, no. 64, MI2013-11, pp. 55-60, May 2013.
Paper # MI2013-11 
Date of Issue 2013-05-17 (IE, PRMU, MI) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF IE2013-18 PRMU2013-11 MI2013-11

Conference Information
Committee PRMU MI IE  
Conference Date 2013-05-24 - 2013-05-25 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To MI 
Conference Code 2013-05-PRMU-MI-IE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A method for automated extraction of biliary tract from 3D abdominal contrast CT images based on local intensity structure analysis 
Sub Title (in English)  
Keyword(1) biliary  
Keyword(2) bile duct  
Keyword(3) cholangiectasis  
Keyword(4) abdominal contrast CT images  
Keyword(5) local intensity structure analysis  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Kusuto Koga  
1st Author's Affiliation Nagoya University (Nagoya Univ.)
2nd Author's Name Yuichiro Hayashi  
2nd Author's Affiliation Nagoya University (Nagoya Univ.)
3rd Author's Name Tomoaki Hirose  
3rd Author's Affiliation Nagoya University (Nagoya Univ.)
4th Author's Name Masahiro Oda  
4th Author's Affiliation Nagoya University (Nagoya Univ.)
5th Author's Name Takayuki Kitasaka  
5th Author's Affiliation Aichi Institute of Technology (Aichi Inst. of Tech.)
6th Author's Name Tsuyoshi Igami  
6th Author's Affiliation Nagoya University (Nagoya Univ.)
7th Author's Name Masato Nagino  
7th Author's Affiliation Nagoya University (Nagoya Univ.)
8th Author's Name Kensaku Mori  
8th Author's Affiliation Nagoya University (Nagoya Univ.)
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Speaker Author-1 
Date Time 2013-05-24 16:45:00 
Presentation Time 30 minutes 
Registration for MI 
Paper # IE2013-18, PRMU2013-11, MI2013-11 
Volume (vol) vol.113 
Number (no) no.62(IE), no.63(PRMU), no.64(MI) 
Page pp.55-60 
#Pages 6 
Date of Issue 2013-05-17 (IE, PRMU, MI) 

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