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Paper Abstract and Keywords
Presentation 2012-09-04 10:15
Automatic detection method for anatomical landmarks on the soft tissue in enhanced abdominal CT volumes
Shouhei Hanaoka, Yoshitaka Masutani, Mitsutaka Nemoto, Yukihiro Nomura, Soichiro Miki, Takeharu Yoshikawa, Naoto Hayashi, Kuni Ohtomo (Tokyo Univ.) MI2012-40
Abstract (in Japanese) (See Japanese page) 
(in English) We have been developed an automatic detection system for anatomical landmarks in plain torso CT images. However, the system has a problem of low detection rate for soft-tissue landmarks. The aim of this study is to extend our previous method to contrast enhanced CT datasets. In our approach 17 soft-tissue landmarks are detected, together with several bone and lung landmarks simultaneously. The evaluation with 21 datasets showed a fair result of less than 70% of detection rate for 10 of 17 soft-tissue landmarks. Thus, we believe that our method is feasible to various soft-tissue landmarks in contrast enhanced, abdominal CT volumes.
Keyword (in Japanese) (See Japanese page) 
(in English) Anatomical landmark / CT / statistical shape model / Classifier ensemble / / / /  
Reference Info. IEICE Tech. Rep., vol. 112, no. 200, MI2012-40, pp. 7-12, Sept. 2012.
Paper # MI2012-40 
Date of Issue 2012-08-28 (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 2012-09-04 - 2012-09-04 
Place (in Japanese) (See Japanese page) 
Place (in English) Univ. of Tokyo 
Topics (in Japanese) (See Japanese page) 
Topics (in English) General medical imaging, and imaging for intervention and therapy-guidance 
Paper Information
Registration To MI 
Conference Code 2012-09-MI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Automatic detection method for anatomical landmarks on the soft tissue in enhanced abdominal CT volumes 
Sub Title (in English)  
Keyword(1) Anatomical landmark  
Keyword(2) CT  
Keyword(3) statistical shape model  
Keyword(4) Classifier ensemble  
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1st Author's Name Shouhei Hanaoka  
1st Author's Affiliation The Univ. of Tokyo (Tokyo Univ.)
2nd Author's Name Yoshitaka Masutani  
2nd Author's Affiliation The Univ. of Tokyo (Tokyo Univ.)
3rd Author's Name Mitsutaka Nemoto  
3rd Author's Affiliation The Univ. of Tokyo (Tokyo Univ.)
4th Author's Name Yukihiro Nomura  
4th Author's Affiliation The Univ. of Tokyo (Tokyo Univ.)
5th Author's Name Soichiro Miki  
5th Author's Affiliation The Univ. of Tokyo (Tokyo Univ.)
6th Author's Name Takeharu Yoshikawa  
6th Author's Affiliation The Univ. of Tokyo (Tokyo Univ.)
7th Author's Name Naoto Hayashi  
7th Author's Affiliation The Univ. of Tokyo (Tokyo Univ.)
8th Author's Name Kuni Ohtomo  
8th Author's Affiliation The Univ. of Tokyo (Tokyo Univ.)
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Speaker Author-1 
Date Time 2012-09-04 10:15:00 
Presentation Time 30 minutes 
Registration for MI 
Paper # MI2012-40 
Volume (vol) vol.112 
Number (no) no.200 
Page pp.7-12 
#Pages
Date of Issue 2012-08-28 (MI) 


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