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Paper Abstract and Keywords
Presentation 2009-01-21 09:50
[Poster Presentation] Computerized Detection of Multiple Sclerosis Lesions based on 3.0 T Two-dimensional Magnetic Resonance Images
Daisuke Yamamoto, Hidetaka Arimura (Kyushu Univ.), Shingo Kakeda (Univ. of Occupational and Environmental Health), Taiki Magome (Kyushu Univ.), Yasuo Yamashita (Kyushu Univ. Hospital), Masafumi Ohki, Fukai Toyofuku, Yoshiharu Higashida (Kyushu Univ.), Yukunori Korogi (Univ. of Occupational and Environmental Health) MI2008-171
Abstract (in Japanese) (See Japanese page) 
(in English) The assessment of multiple sclerosis (MS) lesions would be a demanding and time-consuming task, because MS lesions present temporal changes in terms of shape, location and area. Therefore, the purpose of our study was to develop an automated method for detection of MS candidate regions in brain 3.0 Tesla two-dimensional magnetic resonance (MR) images. We applied a proposed method to 49 slices selected from 6 studies of three MS patients including 168 MS lesions. As a result, the sensitivity for detection of MS regions was 81.5 % with 2.9 false positives per slice based on a leave-one-candidate-out test.
Keyword (in Japanese) (See Japanese page) 
(in English) computer-aided diagnosis (CAD) / multiple sclerosis (MS) / magnetic resonance (MR) images / / / / /  
Reference Info. IEICE Tech. Rep., vol. 108, no. 385, MI2008-171, pp. 505-506, Jan. 2009.
Paper # MI2008-171 
Date of Issue 2009-01-12 (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 2009-01-19 - 2009-01-21 
Place (in Japanese) (See Japanese page) 
Place (in English) National Taiwan University 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Medical Imaging 
Paper Information
Registration To MI 
Conference Code 2009-01-MI 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Computerized Detection of Multiple Sclerosis Lesions based on 3.0 T Two-dimensional Magnetic Resonance Images 
Sub Title (in English)  
Keyword(1) computer-aided diagnosis (CAD)  
Keyword(2) multiple sclerosis (MS)  
Keyword(3) magnetic resonance (MR) images  
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Keyword(5)  
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1st Author's Name Daisuke Yamamoto  
1st Author's Affiliation Kyushu University (Kyushu Univ.)
2nd Author's Name Hidetaka Arimura  
2nd Author's Affiliation Kyushu University (Kyushu Univ.)
3rd Author's Name Shingo Kakeda  
3rd Author's Affiliation University of Occupational and Environmental Health (Univ. of Occupational and Environmental Health)
4th Author's Name Taiki Magome  
4th Author's Affiliation Kyushu University (Kyushu Univ.)
5th Author's Name Yasuo Yamashita  
5th Author's Affiliation Kyushu University Hospital (Kyushu Univ. Hospital)
6th Author's Name Masafumi Ohki  
6th Author's Affiliation Kyushu University (Kyushu Univ.)
7th Author's Name Fukai Toyofuku  
7th Author's Affiliation Kyushu University (Kyushu Univ.)
8th Author's Name Yoshiharu Higashida  
8th Author's Affiliation Kyushu University (Kyushu Univ.)
9th Author's Name Yukunori Korogi  
9th Author's Affiliation University of Occupational and Environmental Health (Univ. of Occupational and Environmental Health)
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Speaker Author-1 
Date Time 2009-01-21 09:50:00 
Presentation Time 140 minutes 
Registration for MI 
Paper # MI2008-171 
Volume (vol) vol.108 
Number (no) no.385 
Page pp.505-506 
#Pages
Date of Issue 2009-01-12 (MI) 


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