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Paper Abstract and Keywords
Presentation 2010-01-28 17:25
Multi-organ extraction based on searching similar CT images using abdominal 3D-CT image database and image registration
Hiroki Mori, Masahiro Oda (Nagoya Univ.), Takayuki Kitasaka (Aichi Inst. of Tech.), Kazunari Misawa (Aichi Cancer Center), Michitaka Fujiwara (Nagoya Univ.), Shigeru Nawano (Int'l Univ. of Health and Welfare), Daniel Rueckert (Imperial College London), Kensaku Mori (Nagoya Univ.) MI2009-116
Abstract (in Japanese) (See Japanese page) 
(in English) This paper proposes an automated abdominal organ segmentation method based on similar image searching and deformation. In our method, we build database that stores CT images and corresponding label images. We select a CT image from the database which has the most similar shape of segmentation target organ to an input CT image. Then, we apply deformation to this most similar CT image so as to be fit to the input CT image, and we obtain a target organ region. Experimantal results using the proposed method showed that the accuracy of the method were 76.5\% in liver, 57.0\% in spleen, 22.4\% in cholecystis and 19.0\% in pancreas extraction respectively.
Keyword (in Japanese) (See Japanese page) 
(in English) segmentation / abdominal CT image / organ extraction / image registration / / / /  
Reference Info. IEICE Tech. Rep., vol. 109, no. 407, MI2009-116, pp. 217-222, Jan. 2010.
Paper # MI2009-116 
Date of Issue 2010-01-21 (MI) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
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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 2010-01-28 - 2010-01-29 
Place (in Japanese) (See Japanese page) 
Place (in English) Naha-Bunka-Tenbusu 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Medical Imaging 
Paper Information
Registration To MI 
Conference Code 2010-01-MI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Multi-organ extraction based on searching similar CT images using abdominal 3D-CT image database and image registration 
Sub Title (in English)  
Keyword(1) segmentation  
Keyword(2) abdominal CT image  
Keyword(3) organ extraction  
Keyword(4) image registration  
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1st Author's Name Hiroki Mori  
1st Author's Affiliation Nagoya University (Nagoya Univ.)
2nd Author's Name Masahiro Oda  
2nd Author's Affiliation Nagoya University (Nagoya Univ.)
3rd Author's Name Takayuki Kitasaka  
3rd Author's Affiliation Aichi Institute of Technology. (Aichi Inst. of Tech.)
4th Author's Name Kazunari Misawa  
4th Author's Affiliation Aichi Cancer Center (Aichi Cancer Center)
5th Author's Name Michitaka Fujiwara  
5th Author's Affiliation Nagoya University (Nagoya Univ.)
6th Author's Name Shigeru Nawano  
6th Author's Affiliation International University of Health and Welfare (Int'l Univ. of Health and Welfare)
7th Author's Name Daniel Rueckert  
7th Author's Affiliation Imperial College London (Imperial College London)
8th Author's Name Kensaku Mori  
8th Author's Affiliation Nagoya University (Nagoya Univ.)
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Speaker Author-1 
Date Time 2010-01-28 17:25:00 
Presentation Time 10 minutes 
Registration for MI 
Paper # MI2009-116 
Volume (vol) vol.109 
Number (no) no.407 
Page pp.217-222 
#Pages
Date of Issue 2010-01-21 (MI) 


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