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Paper Abstract and Keywords
Presentation 2010-01-29 11:40
Skull Stripping from Neonatal and Infantile Magnetic Resonance Images Using Two Types of Gaussian Discriminant
Yuko Fujimoto (Univ. of Hyogo), Syoji Kobashi (Univ. of Hyogo/Osaka Univ.), Yuki Wakata, Reiichi Ishikura (Hyogo College of Medicine), Kei Kuramoto (Univ. of Hyogo/Osaka Univ.), Seturo Imawaki (Ishikawa Hospital), Shozo Hirota (Hyogo College of Medicine), Yutaka Hata (Univ. of Hyogo/Osaka Univ.) MI2009-141
Abstract (in Japanese) (See Japanese page) 
(in English) It is effective to measure cerebral surface and for quantitative diagnosis of neonatal and infantile brain diseases. This paper proposes a skull stripping method for the neonatal and infantile brain in T1/ T2 magnetic resonance (MR) images. First, the proposed method discriminates several regions (white matter, gray matter, cerebrospinal fluid, fat, other) from MR images by two typed of Gaussian discriminate. Next, the proposed method initializes the surface model by the obtained white matter region and gray matter region. The surface model deformation process is based on fuzzy rules which translate physicians’ knowledge on the human brain. We applied the proposed method to 26 neonatal and infantile subjects (-4 weeks – 4 years 1 months old). The results showed that the proposed method stripped skull well from neonatal and infantile MR images.
Keyword (in Japanese) (See Japanese page) 
(in English) infant / neonate / skull stripping / MR image / fuzzy ASM / Gaussian discriminant / /  
Reference Info. IEICE Tech. Rep., vol. 109, no. 407, MI2009-141, pp. 351-356, Jan. 2010.
Paper # MI2009-141 
Date of Issue 2010-01-21 (MI) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
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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) Skull Stripping from Neonatal and Infantile Magnetic Resonance Images Using Two Types of Gaussian Discriminant 
Sub Title (in English)  
Keyword(1) infant  
Keyword(2) neonate  
Keyword(3) skull stripping  
Keyword(4) MR image  
Keyword(5) fuzzy ASM  
Keyword(6) Gaussian discriminant  
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Keyword(8)  
1st Author's Name Yuko Fujimoto  
1st Author's Affiliation Graduate School of Engineering, University of Hyogo (Univ. of Hyogo)
2nd Author's Name Syoji Kobashi  
2nd Author's Affiliation Graduate School of Engineering, University of Hyogo/Osaka University (Univ. of Hyogo/Osaka Univ.)
3rd Author's Name Yuki Wakata  
3rd Author's Affiliation Department of Radiology, Hyogo College of Medicine (Hyogo College of Medicine)
4th Author's Name Reiichi Ishikura  
4th Author's Affiliation Department of Radiology, Hyogo College of Medicine (Hyogo College of Medicine)
5th Author's Name Kei Kuramoto  
5th Author's Affiliation Graduate School of Engineering, University of Hyogo/Osaka University (Univ. of Hyogo/Osaka Univ.)
6th Author's Name Seturo Imawaki  
6th Author's Affiliation Ishikawa Hospital (Ishikawa Hospital)
7th Author's Name Shozo Hirota  
7th Author's Affiliation Department of Radiology, Hyogo College of Medicine (Hyogo College of Medicine)
8th Author's Name Yutaka Hata  
8th Author's Affiliation Graduate School of Engineering, University of Hyogo/Osaka University (Univ. of Hyogo/Osaka Univ.)
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Speaker Author-1 
Date Time 2010-01-29 11:40:00 
Presentation Time 30 minutes 
Registration for MI 
Paper # MI2009-141 
Volume (vol) vol.109 
Number (no) no.407 
Page pp.351-356 
#Pages
Date of Issue 2010-01-21 (MI) 


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