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Paper Abstract and Keywords
Presentation 2010-11-15 15:55
New Region Growing Segmentation Technique for MR Images with Weak Boundaries
Ahmed Ayman (Kyoto Univ./Al-Azhar Univ.), Takuya Funatomi, Michihiko Minoh (Kyoto Univ.), Zanaty Elnomery (Sohag Univ.), Tomohisa Okada, Kaori Togashi, Tomoko Sakai, Shigehito Yamada (Kyoto Univ.) MI2010-79
Abstract (in Japanese) (See Japanese page) 
(in English) In medical image processing, segmented images are used for studying anatomical structures, diagnosis and assisting in surgical planning. Our goal is to segment 2D/3D MR images which contain weak boundaries between different tissues. Region growing method cannot specifically segment the tissues with weak boundaries because pixels inside the region and outside have similar intensity. We introduce a new automatic threshold method for region growing. The pixels around boundaries have lower probability of intensities than the pixels inside and outside the tissues. Then, the automatic threshold for region growing will be computed as a function of pixel intensity value and probability of intensities. The experimental results show that the proposed technique produces accurate and stable results.
Keyword (in Japanese) (See Japanese page) 
(in English) Segmentation / Region growing / automatic threshold / MRI / Weak boundaries / / /  
Reference Info. IEICE Tech. Rep., vol. 110, no. 280, MI2010-79, pp. 71-76, Nov. 2010.
Paper # MI2010-79 
Date of Issue 2010-11-08 (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 2010-11-15 - 2010-11-15 
Place (in Japanese) (See Japanese page) 
Place (in English) Shimadzu Corp. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Medical Imaging 
Paper Information
Registration To MI 
Conference Code 2010-11-MI 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) New Region Growing Segmentation Technique for MR Images with Weak Boundaries 
Sub Title (in English)  
Keyword(1) Segmentation  
Keyword(2) Region growing  
Keyword(3) automatic threshold  
Keyword(4) MRI  
Keyword(5) Weak boundaries  
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Keyword(7)  
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1st Author's Name Ahmed Ayman  
1st Author's Affiliation Kyoto University (Kyoto Univ./Al-Azhar Univ.)
2nd Author's Name Takuya Funatomi  
2nd Author's Affiliation Kyoto University (Kyoto Univ.)
3rd Author's Name Michihiko Minoh  
3rd Author's Affiliation Kyoto University (Kyoto Univ.)
4th Author's Name Zanaty Elnomery  
4th Author's Affiliation Sohag University (Sohag Univ.)
5th Author's Name Tomohisa Okada  
5th Author's Affiliation Kyoto University (Kyoto Univ.)
6th Author's Name Kaori Togashi  
6th Author's Affiliation Kyoto University (Kyoto Univ.)
7th Author's Name Tomoko Sakai  
7th Author's Affiliation Kyoto University (Kyoto Univ.)
8th Author's Name Shigehito Yamada  
8th Author's Affiliation Kyoto University (Kyoto Univ.)
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Speaker Author-1 
Date Time 2010-11-15 15:55:00 
Presentation Time 25 minutes 
Registration for MI 
Paper # MI2010-79 
Volume (vol) vol.110 
Number (no) no.280 
Page pp.71-76 
#Pages 6 
Date of Issue 2010-11-08 (MI) 

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