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Paper Abstract and Keywords
Presentation 2012-01-19 16:30
Abdominal multi-organ segmentation of 3D CT images based on hierarchical statistical modeling of spatial interrelations among organs -- Performance evaluation based on exhaustive analysis of spatial interrelations --
Toshiyuki Okada (Osaka Univ.), Marius George Linguraru (Children's National Medical Center), Masatoshi Hori, Yuki Suzuki (Osaka Univ.), Ronald M. Summers (National Institutes of Health), Noriyuki Tomiyama, Yoshinobu Sato (Osaka Univ.) MI2011-113
Abstract (in Japanese) (See Japanese page) 
(in English) The automated segmentation of multiple organs in CT data of the upper abdomen is addressed. In order to explicitly incorporate the spatial interrelations among organs, we propose a method for finding and representing the interrelations based on canonical correlation analysis. Furthermore, methods are developed for constructing and utilizing the statistical atlas in which inter-organ constraints are explicitly incorporated to improve accuracy of multi-organ segmentation. The proposed methods were tested to perform segmentation of seven abdominal organs (liver, spleen, kidneys, pancreas, gallbladder and inferior vena cava) from contrast-enhanced CT datasets and was compared to a previous approach. 84 datasets acquired at two institutions were used for the validation.
Keyword (in Japanese) (See Japanese page) 
(in English) statistical shape prediction / statistical shape model / probabilistic atlas / canonical correlation analysis / partial least squares / / /  
Reference Info. IEICE Tech. Rep., vol. 111, no. 389, MI2011-113, pp. 197-201, Jan. 2012.
Paper # MI2011-113 
Date of Issue 2012-01-12 (MI) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
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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)
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Conference Information
Committee MI  
Conference Date 2012-01-19 - 2012-01-20 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
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Paper Information
Registration To MI 
Conference Code 2012-01-MI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Abdominal multi-organ segmentation of 3D CT images based on hierarchical statistical modeling of spatial interrelations among organs 
Sub Title (in English) Performance evaluation based on exhaustive analysis of spatial interrelations 
Keyword(1) statistical shape prediction  
Keyword(2) statistical shape model  
Keyword(3) probabilistic atlas  
Keyword(4) canonical correlation analysis  
Keyword(5) partial least squares  
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1st Author's Name Toshiyuki Okada  
1st Author's Affiliation Osaka University (Osaka Univ.)
2nd Author's Name Marius George Linguraru  
2nd Author's Affiliation Children's National Medical Center (Children's National Medical Center)
3rd Author's Name Masatoshi Hori  
3rd Author's Affiliation Osaka University (Osaka Univ.)
4th Author's Name Yuki Suzuki  
4th Author's Affiliation Osaka University (Osaka Univ.)
5th Author's Name Ronald M. Summers  
5th Author's Affiliation National Institutes of Health (National Institutes of Health)
6th Author's Name Noriyuki Tomiyama  
6th Author's Affiliation Osaka University (Osaka Univ.)
7th Author's Name Yoshinobu Sato  
7th Author's Affiliation Osaka University (Osaka Univ.)
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Speaker Author-1 
Date Time 2012-01-19 16:30:00 
Presentation Time 15 minutes 
Registration for MI 
Paper # MI2011-113 
Volume (vol) vol.111 
Number (no) no.389 
Page pp.197-201 
#Pages 5 
Date of Issue 2012-01-12 (MI) 

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