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Paper Abstract and Keywords
Presentation 2010-09-03 12:50
[Poster Presentation] Study on anatomical landmark detection from CT images via three-dimensional SIFT
Mitsutaka Nemoto, Yukihiro Nomura, Yoshitaka Masutani, Shouhei Hanaoka, Takeharu Yoshikawa, Naoto Hayashi, Naoki Yoshioka, Kuni Ohtomo (Univ Tokyo) MI2010-59
Abstract (in Japanese) (See Japanese page) 
(in English) Detection of anatomical landmarks on 3D medical images is an our recent research topic. The anatomical landmarks, which are local structures as a part of inner organs or bones, often play key role in medical image understanding. In this study, 3D extended SIFT (Scale Invariant Feature Transform), which is a method to detect key-points from images and to describe detected key-points as HoG (Histogram of Gaussian) base features, is utilized to detect anatomical landmarks. Landmark detection performance of 3D-SIFT was evaluated experimentally and was compared with the detection accuracy by appearance-based method we proposed previously.
Keyword (in Japanese) (See Japanese page) 
(in English) Anatomical landmarks / medical image understanding / 3D-SIFT / / / / /  
Reference Info. IEICE Tech. Rep., vol. 110, no. 195, MI2010-59, pp. 49-54, Sept. 2010.
Paper # MI2010-59 
Date of Issue 2010-08-27 (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)
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Conference Information
Committee MI  
Conference Date 2010-09-03 - 2010-09-03 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English) general medical imaging 
Paper Information
Registration To MI 
Conference Code 2010-09-MI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Study on anatomical landmark detection from CT images via three-dimensional SIFT 
Sub Title (in English)  
Keyword(1) Anatomical landmarks  
Keyword(2) medical image understanding  
Keyword(3) 3D-SIFT  
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1st Author's Name Mitsutaka Nemoto  
1st Author's Affiliation The University of Tokyo (Univ Tokyo)
2nd Author's Name Yukihiro Nomura  
2nd Author's Affiliation The University of Tokyo (Univ Tokyo)
3rd Author's Name Yoshitaka Masutani  
3rd Author's Affiliation The University of Tokyo (Univ Tokyo)
4th Author's Name Shouhei Hanaoka  
4th Author's Affiliation The University of Tokyo (Univ Tokyo)
5th Author's Name Takeharu Yoshikawa  
5th Author's Affiliation The University of Tokyo (Univ Tokyo)
6th Author's Name Naoto Hayashi  
6th Author's Affiliation The University of Tokyo (Univ Tokyo)
7th Author's Name Naoki Yoshioka  
7th Author's Affiliation The University of Tokyo (Univ Tokyo)
8th Author's Name Kuni Ohtomo  
8th Author's Affiliation The University of Tokyo (Univ Tokyo)
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Speaker Author-1 
Date Time 2010-09-03 12:50:00 
Presentation Time 60 minutes 
Registration for MI 
Paper # MI2010-59 
Volume (vol) vol.110 
Number (no) no.195 
Page pp.49-54 
#Pages 6 
Date of Issue 2010-08-27 (MI) 

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