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Paper Abstract and Keywords
Presentation 2009-01-20 14:30
[Poster Presentation] Automated segmentation and analysis of mammary gland regions in CT images using probabilistic atlas
Mingxu Han, Xiangrong Zhou, Takeshi Hara, Hiroshi Fujita, Keiko Sugisaki, Huayue Chen, Ryujiro Yokoyama, Masayuki Kanematsu, Hiroaki Hoshi (GifuUniv.) MI2008-154
Abstract (in Japanese) (See Japanese page) 
(in English) The identification of mammary gland regions can provide useful information for breast tumor diagnosis. This study proposes a fully-automated scheme for segmenting the mammary gland regions in non-contrast torso CT images. This scheme calculates the probability of each voxel belonging to the mammary gland or chest muscle in CT images as the reference of the segmentation, and decides the mammary gland regions based on CT number automatically. We applied this scheme to 66 patient cases (female, age: 20-80) and evaluated the accuracy by using the Jaccard similarity coefficient (JSC) between the segmented results and 2 gold standards that were generated manually by 2 medical experts independently for each CT case. The result showed that the mean value of the JSC score was 0.83 with the standard deviation of 0.09 for 66 CT cases. The proposed scheme was applied to investigate the breast density distributions in normal mammary gland regions so as to demonstrate the effect and usefulness of the proposed scheme.
Keyword (in Japanese) (See Japanese page) 
(in English) segmentation / mammary gland region / X-ray CT image / probabilistic atlas / / / /  
Reference Info. IEICE Tech. Rep., vol. 108, no. 385, MI2008-154, pp. 435-438, Jan. 2009.
Paper # MI2008-154 
Date of Issue 2009-01-12 (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 2009-01-19 - 2009-01-21 
Place (in Japanese) (See Japanese page) 
Place (in English) National Taiwan University 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Medical Imaging 
Paper Information
Registration To MI 
Conference Code 2009-01-MI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Automated segmentation and analysis of mammary gland regions in CT images using probabilistic atlas 
Sub Title (in English)  
Keyword(1) segmentation  
Keyword(2) mammary gland region  
Keyword(3) X-ray CT image  
Keyword(4) probabilistic atlas  
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1st Author's Name Mingxu Han  
1st Author's Affiliation Gifu University (GifuUniv.)
2nd Author's Name Xiangrong Zhou  
2nd Author's Affiliation Gifu University (GifuUniv.)
3rd Author's Name Takeshi Hara  
3rd Author's Affiliation Gifu University (GifuUniv.)
4th Author's Name Hiroshi Fujita  
4th Author's Affiliation Gifu University (GifuUniv.)
5th Author's Name Keiko Sugisaki  
5th Author's Affiliation Gifu University (GifuUniv.)
6th Author's Name Huayue Chen  
6th Author's Affiliation Gifu University (GifuUniv.)
7th Author's Name Ryujiro Yokoyama  
7th Author's Affiliation Gifu University (GifuUniv.)
8th Author's Name Masayuki Kanematsu  
8th Author's Affiliation Gifu University (GifuUniv.)
9th Author's Name Hiroaki Hoshi  
9th Author's Affiliation Gifu University (GifuUniv.)
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Speaker Author-1 
Date Time 2009-01-20 14:30:00 
Presentation Time 210 minutes 
Registration for MI 
Paper # MI2008-154 
Volume (vol) vol.108 
Number (no) no.385 
Page pp.435-438 
#Pages 4 
Date of Issue 2009-01-12 (MI) 

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