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Paper Abstract and Keywords
Presentation 2012-05-18 14:00
Automated anatomical labeling of vessels based on optimal path finding betwxeen great vessels and organs from multi-phase 3D CT -- Improvement of optimal path finding --
Yuki Suzuki, Toshiyuki Okada (Osaka Univ.), Futoshi Yokota (Kobe Univ.), Masatoshi Hori, Noriyuki Tomiyama, Yoshinobu Sato (Osaka Univ.) IE2012-32 PRMU2012-17 MI2012-17
Abstract (in Japanese) (See Japanese page) 
(in English) A fully automated method is described for segmentation and anatomical labeling of the abdominal vessels from contrast-enhanced CT data of the upper abdomen. By assuming that the regions of the organs and great vessels have already been automatically segmented, the problem is formulated as extracting and selecting the optimal paths between the organ and great vessel regions based on a basic anatomical constraint that vessels supplying blood to an organ consists of tree structures whose root nodes are located in the great vessel region and leaf nodes in the organ region. Using the constraint, the proposed method solves both of vessel segmentation and anatomical labeling. In addition, the method is robust against topological variability of the branching patterns. Experimental results using 10 datasets demonstrate that the proposed method was effectively applied to several kinds of the abdominal arteries.The average F-measure was 0.89 for proposed and 0.74 for previous methods.
Keyword (in Japanese) (See Japanese page) 
(in English) Irregular topology / Branching structures / Multi-organ segmentation / / / / /  
Reference Info. IEICE Tech. Rep., vol. 112, no. 38, MI2012-17, pp. 91-96, May 2012.
Paper # MI2012-17 
Date of Issue 2012-05-10 (IE, PRMU, 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)
Download PDF IE2012-32 PRMU2012-17 MI2012-17

Conference Information
Committee PRMU MI IE  
Conference Date 2012-05-17 - 2012-05-18 
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 2012-05-PRMU-MI-IE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Automated anatomical labeling of vessels based on optimal path finding betwxeen great vessels and organs from multi-phase 3D CT 
Sub Title (in English) Improvement of optimal path finding 
Keyword(1) Irregular topology  
Keyword(2) Branching structures  
Keyword(3) Multi-organ segmentation  
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1st Author's Name Yuki Suzuki  
1st Author's Affiliation Osaka University (Osaka Univ.)
2nd Author's Name Toshiyuki Okada  
2nd Author's Affiliation Osaka University (Osaka Univ.)
3rd Author's Name Futoshi Yokota  
3rd Author's Affiliation Kobe University (Kobe Univ.)
4th Author's Name Masatoshi Hori  
4th Author's Affiliation Osaka University (Osaka Univ.)
5th Author's Name Noriyuki Tomiyama  
5th Author's Affiliation Osaka University (Osaka Univ.)
6th Author's Name Yoshinobu Sato  
6th Author's Affiliation Osaka University (Osaka Univ.)
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Speaker Author-1 
Date Time 2012-05-18 14:00:00 
Presentation Time 30 minutes 
Registration for MI 
Paper # IE2012-32, PRMU2012-17, MI2012-17 
Volume (vol) vol.112 
Number (no) no.36(IE), no.37(PRMU), no.38(MI) 
Page pp.91-96 
#Pages
Date of Issue 2012-05-10 (IE, PRMU, MI) 


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