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Paper Abstract and Keywords
Presentation 2016-07-26 10:30
Automatic blood vessel-based liver segmentation through the portal phase CT
Ahmed Maklad, Mikio Matsuhiro, Hidenobu Suzuki, Yoshiki Kawata, Noboru Niki, Mitsuo Shimada (Tokushima University), Gen Iinuma (National cancer center hospital) MI2016-41
Abstract (in Japanese) (See Japanese page) 
(in English) Blood vessel (BV) has showed high performance at liver segmentation achieving rank 1 on sliver07. This method was semi-automatic including 5-interactions at the stage of abdominal blood vessel (ABV) segmentation and classification into hepatic (HBVs) and non-HBV. For full automation of this method, we propose an automatic segmentation of ABVs and subsequent classification into HBVs and non-HBVs. The proposed method comprises three stages. First, bone, kidneys, ABVs and heart candidates are automatically segmented. Second, bone is automatically segmented and classified into spine, ribs and pelvis. Third, ABV candidates are segmented by classifying kidneys and heart. A developed histogram based blood vessel segmentation is achieved. ABVs are classified into HBVs and non-HBVs. This method is applied to 20 datasets at the portal phase. Results are promising.
Keyword (in Japanese) (See Japanese page) 
(in English) liver segmentation / blood vessel / portal phase / computed tomography / abdominal / CT / /  
Reference Info. IEICE Tech. Rep., vol. 116, no. 160, MI2016-41, pp. 29-34, July 2016.
Paper # MI2016-41 
Date of Issue 2016-07-18 (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 MI2016-41

Conference Information
Committee MI  
Conference Date 2016-07-25 - 2016-07-26 
Place (in Japanese) (See Japanese page) 
Place (in English) Tomakomai Civic Hall 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Medical Imaging, etc. 
Paper Information
Registration To MI 
Conference Code 2016-07-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 CT 
Sub Title (in English)  
Keyword(1) liver segmentation  
Keyword(2) blood vessel  
Keyword(3) portal phase  
Keyword(4) computed tomography  
Keyword(5) abdominal  
Keyword(6) CT  
Keyword(7)  
Keyword(8)  
1st Author's Name Ahmed Maklad  
1st Author's Affiliation Tokushima University (Tokushima University)
2nd Author's Name Mikio Matsuhiro  
2nd Author's Affiliation Tokushima University (Tokushima University)
3rd Author's Name Hidenobu Suzuki  
3rd Author's Affiliation Tokushima University (Tokushima University)
4th Author's Name Yoshiki Kawata  
4th Author's Affiliation Tokushima University (Tokushima University)
5th Author's Name Noboru Niki  
5th Author's Affiliation Tokushima University (Tokushima University)
6th Author's Name Mitsuo Shimada  
6th Author's Affiliation Tokushima University (Tokushima University)
7th Author's Name Gen Iinuma  
7th Author's Affiliation National cancer center hospital (National cancer center hospital)
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Speaker Author-1 
Date Time 2016-07-26 10:30:00 
Presentation Time 30 minutes 
Registration for MI 
Paper # MI2016-41 
Volume (vol) vol.116 
Number (no) no.160 
Page pp.29-34 
#Pages 6 
Date of Issue 2016-07-18 (MI) 

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