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Paper Abstract and Keywords
Presentation 2015-03-03 13:40
Development of segmentation method of bile duct from abdominal CT volumes by using Support Vector Machine
Kusuto Koga, Yuichiro Hayashi, Tomoaki Hirose, Masahiro Oda (Nagoya Univ.), Takayuki Kitasaka (AIT), Tsuyoshi Igami, Masato Nagino, Kensaku Mori (Nagoya Univ.) MI2014-100
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper, we propose a segmentation method of bile duct (BD) from abdominal CT volumes. In order to classify voxels into BD or its surrounding tissues, our method utilizes statistical values of the intensity as feature values in local regions which have various sizes. We utilize a Suppot Vector Machine (SVM) as classifiers.
For sufficient extraction of distal parts of intrahepatic BDs and stenosed merging sections of BD, we construct two classifiers being used BD region segmentation: Classifier 1 determines whether an input voxel belongs to segmental BDs or not. Classifier 2 determines whether an input voxel belongs to subsegmental BDs or not. We roughly extract the BD by two classifiers. Finally, we obtain the BD region as sufficient extraction of distal parts of intrahepatic BDs with likelihood estimation of BD by using Classifier 2.
Our method requires only one point as manual operation before the segmentation.
In the experiment using 22 cases of CT volumes, our method was able to obtain good segmentations of the BD regions. An average of Jaccard Index was 62.2%. Average segmentation rate of branches of segment and subsegment BDs were 98.9% and 70.0%, respectively.
Keyword (in Japanese) (See Japanese page) 
(in English) biliary tract / bile duct / segmentation / abdominal contrast CT volumes / machine learning / / /  
Reference Info. IEICE Tech. Rep., vol. 114, no. 482, MI2014-100, pp. 227-232, March 2015.
Paper # MI2014-100 
Date of Issue 2015-02-23 (MI) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
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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)
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Conference Information
Committee MI  
Conference Date 2015-03-02 - 2015-03-03 
Place (in Japanese) (See Japanese page) 
Place (in English) Hotel Miyahira 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Creation of multidisciplinary computational anatomy, Forefront of medical image engineering, General topics in medical imaging 
Paper Information
Registration To MI 
Conference Code 2015-03-MI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Development of segmentation method of bile duct from abdominal CT volumes by using Support Vector Machine 
Sub Title (in English)  
Keyword(1) biliary tract  
Keyword(2) bile duct  
Keyword(3) segmentation  
Keyword(4) abdominal contrast CT volumes  
Keyword(5) machine learning  
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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 (AIT)
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 2015-03-03 13:40:00 
Presentation Time 80 minutes 
Registration for MI 
Paper # MI2014-100 
Volume (vol) vol.114 
Number (no) no.482 
Page pp.227-232 
#Pages
Date of Issue 2015-02-23 (MI) 


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