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Paper Abstract and Keywords
Presentation 2014-09-02 14:40
Automatic blood vessel-based liver segmentation through the portal phase abdominal CT dataset
Ahmed S. Maklad, Mikio Matsuhiro, Hidenobu Suzuki, Yoshiki Kawata, Noboru Niki, Mitsuo Shimada (Univ. of Tokushima) MI2014-40
Abstract (in Japanese) (See Japanese page) 
(in English) Blood vessel (BV) based liver segmentation has showed high performance [1] achieving rank 1 on sliver07 (the official website for liver segmentation). This method is semi-automatic including small number of interactions in segmentation and classification of abdominal blood vessel (ABVs) stage. For mainly full automation of this method, we propose an automatic method for ABVs segmentation through contract enhanced CT images. Volumetry of bone, kidneys and BVs in the abdomen are estimated and used for ABVs segmentation based on shape and location information.

[1] A. S. Maklad, et al., Medical Physics, vol. 40, no. 11, 113501 (17pp.), 2013.
Keyword (in Japanese) (See Japanese page) 
(in English) blood vessel / liver segmentation / CT image / portal phase / / / /  
Reference Info. IEICE Tech. Rep., vol. 114, no. 200, MI2014-40, pp. 27-31, Sept. 2014.
Paper # MI2014-40 
Date of Issue 2014-08-26 (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 MI2014-40

Conference Information
Committee MI  
Conference Date 2014-09-02 - 2014-09-02 
Place (in Japanese) (See Japanese page) 
Place (in English) The Institute of Statistical Mathematics 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Statistical mathematical approaches in medical image analysis 
Paper Information
Registration To MI 
Conference Code 2014-09-MI 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Automatic blood vessel-based liver segmentation through the portal phase abdominal CT dataset 
Sub Title (in English)  
Keyword(1) blood vessel  
Keyword(2) liver segmentation  
Keyword(3) CT image  
Keyword(4) portal phase  
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1st Author's Name Ahmed S. Maklad  
1st Author's Affiliation The University of Tokushima (Univ. of Tokushima)
2nd Author's Name Mikio Matsuhiro  
2nd Author's Affiliation The University of Tokushima (Univ. of Tokushima)
3rd Author's Name Hidenobu Suzuki  
3rd Author's Affiliation The University of Tokushima (Univ. of Tokushima)
4th Author's Name Yoshiki Kawata  
4th Author's Affiliation The University of Tokushima (Univ. of Tokushima)
5th Author's Name Noboru Niki  
5th Author's Affiliation The University of Tokushima (Univ. of Tokushima)
6th Author's Name Mitsuo Shimada  
6th Author's Affiliation The University of Tokushima (Univ. of Tokushima)
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Speaker Author-1 
Date Time 2014-09-02 14:40:00 
Presentation Time 30 minutes 
Registration for MI 
Paper # MI2014-40 
Volume (vol) vol.114 
Number (no) no.200 
Page pp.27-31 
#Pages 5 
Date of Issue 2014-08-26 (MI) 

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