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Paper Abstract and Keywords
Presentation 2011-09-06 10:45
Brain Segmentation based on intensity distribution and brain shape in neonatal magnetic resonance image
Aya Hashioka (Univ. of Hyogo), Kei Kuramoto (Univ. of Hyogo/ WPI-IFReC), Kosuke Yamaguchi (Univ. of Hyogo), Syoji Kobashi (Univ. of Hyogo/ WPI-IFReC), Yuki Wakata, Kumiko Ando, Reiichi Ishikura (Hyogo College of Medicine), Tomomoto Ishikawa (Ishikawa Hospital), Shozo Hirota (Hyogo College of Medicine), Yutaka Hata (Univ. of Hyogo/ WPI-IFReC) MI2011-51
Abstract (in Japanese) (See Japanese page) 
(in English) For diagnosis of the neonatal cerebral disorders, it is useful to measure cerebral volume and surface area using magnetic resonance (MR) image. To measure cerebral volume and surface area, a brain segmentation method is required. However, there are few studies on automated neonatal brain segmentation. This study proposes an automated brain segmentation method for neonatal brain. The proposed method segments the cerebral region by using fuzzy deformable model. Then, the segmented area is evaluated with respect to the shape of whole head, and segmentation parameters of fuzzy deformable model are updated. Segmentation, evaluation and parameter update processes are iterated until satisfying predefined condition. The initial parameters are selected using Bayesian classification.Experimental results in 34 neonatal subjects (revised age between -2weeks and 1day and 2 years 5 months) showed that the brain region was segmented with sensitivity 99.4% and false-positive rate of 29.6%.
Keyword (in Japanese) (See Japanese page) 
(in English) MR image / cerebral surface / skull stripping / brain segmentation / Bayesian classification / neonate / /  
Reference Info. IEICE Tech. Rep., vol. 111, no. 199, MI2011-51, pp. 21-26, Sept. 2011.
Paper # MI2011-51 
Date of Issue 2011-08-30 (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 2011-09-06 - 2011-09-06 
Place (in Japanese) (See Japanese page) 
Place (in English) AIST 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Impact to postprocessing derived from imaging techniques, General Medical Imaging 
Paper Information
Registration To MI 
Conference Code 2011-09-MI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Brain Segmentation based on intensity distribution and brain shape in neonatal magnetic resonance image 
Sub Title (in English)  
Keyword(1) MR image  
Keyword(2) cerebral surface  
Keyword(3) skull stripping  
Keyword(4) brain segmentation  
Keyword(5) Bayesian classification  
Keyword(6) neonate  
Keyword(7)  
Keyword(8)  
1st Author's Name Aya Hashioka  
1st Author's Affiliation University of Hyogo (Univ. of Hyogo)
2nd Author's Name Kei Kuramoto  
2nd Author's Affiliation University of Hyogo/ WPI Immunology Frontier Research Center, Osaka University (Univ. of Hyogo/ WPI-IFReC)
3rd Author's Name Kosuke Yamaguchi  
3rd Author's Affiliation University of Hyogo (Univ. of Hyogo)
4th Author's Name Syoji Kobashi  
4th Author's Affiliation University of Hyogo/ WPI Immunology Frontier Research Center, Osaka University (Univ. of Hyogo/ WPI-IFReC)
5th Author's Name Yuki Wakata  
5th Author's Affiliation Hyogo College of Medicine (Hyogo College of Medicine)
6th Author's Name Kumiko Ando  
6th Author's Affiliation Hyogo College of Medicine (Hyogo College of Medicine)
7th Author's Name Reiichi Ishikura  
7th Author's Affiliation Hyogo College of Medicine (Hyogo College of Medicine)
8th Author's Name Tomomoto Ishikawa  
8th Author's Affiliation Ishikawa Hospital (Ishikawa Hospital)
9th Author's Name Shozo Hirota  
9th Author's Affiliation Hyogo College of Medicine (Hyogo College of Medicine)
10th Author's Name Yutaka Hata  
10th Author's Affiliation University of Hyogo/ WPI Immunology Frontier Research Center, Osaka University (Univ. of Hyogo/ WPI-IFReC)
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Speaker Author-2 
Date Time 2011-09-06 10:45:00 
Presentation Time 25 minutes 
Registration for MI 
Paper # MI2011-51 
Volume (vol) vol.111 
Number (no) no.199 
Page pp.21-26 
#Pages
Date of Issue 2011-08-30 (MI) 


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