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Paper Abstract and Keywords
Presentation 2008-01-25 15:40
Fuzzy ACM based Computer-aided diagnosis system for infant with HIE using Magnetic Resonance Images
Yuko Fujimoto, Syoji Kobashi (Univ. of Hyogo), Masayo Ogawa, Reiichi Ishikura (Hyogo College of Medicine), Seturo Imawaki (Ishikawa Hospital), Shozo Hirota (Hyogo College of Medicine), Yutaka Hata (Univ. of Hyogo) MI2007-101
Abstract (in Japanese) (See Japanese page) 
(in English) It is effective to measure cerebral surface and cerebral gyri for quantitative diagnosis hypoxic ischemic encephalopathy (HIE). The aim of this study is to propose a computer-aided diagnosis (CAD) system for infant with HIE using magnetic resonance (MR) images. The propose system automatically segments the whole brain from the MR images by using fuzzy active surface model, which can embed physicians’ knowledge on the human brain into image segmentation system. The cerebral gyri are segmented by deforming user-given lines into cerebral sulci. The deformation is performed with fuzzy active contour model. The proposed CAD system was applied to 8 infants (3 weeks – 4 years 2 months old). The results showed that the system segmented the whole brain with high accuracy (sensitivity; 97.72 %, FPR; 0.31%), and the cerebral gyri were segmented well for all subjects.
Keyword (in Japanese) (See Japanese page) 
(in English) infant / hypoxic ischemic encephalopathy / MR image / brain segmentation / fuzzy ACM / gyri / sulci /  
Reference Info. IEICE Tech. Rep., vol. 107, no. 461, MI2007-101, pp. 199-205, Jan. 2008.
Paper # MI2007-101 
Date of Issue 2008-01-18 (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 2008-01-25 - 2008-01-26 
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 2008-01-MI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Fuzzy ACM based Computer-aided diagnosis system for infant with HIE using Magnetic Resonance Images 
Sub Title (in English)  
Keyword(1) infant  
Keyword(2) hypoxic ischemic encephalopathy  
Keyword(3) MR image  
Keyword(4) brain segmentation  
Keyword(5) fuzzy ACM  
Keyword(6) gyri  
Keyword(7) sulci  
Keyword(8)  
1st Author's Name Yuko Fujimoto  
1st Author's Affiliation University of Hyogo (Univ. of Hyogo)
2nd Author's Name Syoji Kobashi  
2nd Author's Affiliation Graduate School of University of Hyogo (Univ. of Hyogo)
3rd Author's Name Masayo Ogawa  
3rd Author's Affiliation Hyogo College of Medicine (Hyogo College of Medicine)
4th Author's Name Reiichi Ishikura  
4th Author's Affiliation Hyogo College of Medicine (Hyogo College of Medicine)
5th Author's Name Seturo Imawaki  
5th Author's Affiliation Ishikawa Hospital (Ishikawa Hospital)
6th Author's Name Shozo Hirota  
6th Author's Affiliation Hyogo College of Medicine (Hyogo College of Medicine)
7th Author's Name Yutaka Hata  
7th Author's Affiliation Graduate School of University of Hyogo (Univ. of Hyogo)
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Speaker Author-1 
Date Time 2008-01-25 15:40:00 
Presentation Time 10 minutes 
Registration for MI 
Paper # MI2007-101 
Volume (vol) vol.107 
Number (no) no.461 
Page pp.199-205 
#Pages 7 
Date of Issue 2008-01-18 (MI) 

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