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Paper Abstract and Keywords
Presentation 2011-01-20 09:45
Automated classification of cerebral arteries in MRA images using visible human Korea image -- Performance evaluation using large image database --
Tatsunori Asano (Gifu Univ), Yoshikazu Uchiyama (Oita NCT), Ryujiro Yokoyama, Takeshi Hara, Toru Iwama, Hiroaki Hoshi (Gifu Univ), Min Suk Chung (Ajou Univ), Hiroshi Fujita (Gifu Univ) MI2010-87
Abstract (in Japanese) (See Japanese page) 
(in English) Magnetic resonance angiography is used for the early detection of unruptured aneurysm, stenosis, and occlusion in brain health check system. This paper proposes an automated classification method of cerebral arteries in MRA images using the visible human Korea image. First, we segmented cerebral arteries. The image registration was subsequently employed to maximize the overlapping of the cerebral arteries in the target image and visible human Korea image. The segmented arteries were then classified into eight arteries based on comparison of the target image and the reference image. Our method was applied to 859 clinical cases. The result of subjective evaluation indicated that 85.9% (738/859) of the cases achieved acceptable segmentation results. Therefore, our computerized method would be useful for the segmentation and the classification of cerebral arteries in MRA images.
Keyword (in Japanese) (See Japanese page) 
(in English) Magnetic resonance angiography / Large image database / Vessel classification / Computer-aided diagnosis / / / /  
Reference Info. IEICE Tech. Rep., vol. 110, no. 364, MI2010-87, pp. 35-39, Jan. 2011.
Paper # MI2010-87 
Date of Issue 2011-01-12 (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 2011-01-19 - 2011-01-20 
Place (in Japanese) (See Japanese page) 
Place (in English) Naha-Bunka-Tembusu 
Topics (in Japanese) (See Japanese page) 
Topics (in English) General Medical Imaging 
Paper Information
Registration To MI 
Conference Code 2011-01-MI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Automated classification of cerebral arteries in MRA images using visible human Korea image 
Sub Title (in English) Performance evaluation using large image database 
Keyword(1) Magnetic resonance angiography  
Keyword(2) Large image database  
Keyword(3) Vessel classification  
Keyword(4) Computer-aided diagnosis  
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1st Author's Name Tatsunori Asano  
1st Author's Affiliation Gifu University (Gifu Univ)
2nd Author's Name Yoshikazu Uchiyama  
2nd Author's Affiliation Oita National College of Technology (Oita NCT)
3rd Author's Name Ryujiro Yokoyama  
3rd Author's Affiliation Gifu University (Gifu Univ)
4th Author's Name Takeshi Hara  
4th Author's Affiliation Gifu University (Gifu Univ)
5th Author's Name Toru Iwama  
5th Author's Affiliation Gifu University (Gifu Univ)
6th Author's Name Hiroaki Hoshi  
6th Author's Affiliation Gifu University (Gifu Univ)
7th Author's Name Min Suk Chung  
7th Author's Affiliation Ajou University, Korea (Ajou Univ)
8th Author's Name Hiroshi Fujita  
8th Author's Affiliation Gifu University (Gifu Univ)
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Speaker Author-1 
Date Time 2011-01-20 09:45:00 
Presentation Time 15 minutes 
Registration for MI 
Paper # MI2010-87 
Volume (vol) vol.110 
Number (no) no.364 
Page pp.35-39 
#Pages 5 
Date of Issue 2011-01-12 (MI) 

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