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Paper Abstract and Keywords
Presentation 2015-09-08 15:25
Study of the body cavity recognition based on TPS method for systemic skeletal muscle recognition in whole-body CT images
Kosuke Ieda (Gifu Univ.), Naoki Kamiya (Aichi Pref. Univ.), Xiangrong Zhou, Megumi Yamada, Hiroki Kato (Gifu Univ.), Kagaku Azuma (University of Occupational and Environmental Health), Chisako Muramatsu, Takeshi Hara, Hiroshi Fujita (Gifu Univ.) MI2015-55
Abstract (in Japanese) (See Japanese page) 
(in English) The purpose of this research is to recognize whole skeletal muscles for whole-body CT images suspected of an ALS. Therefore, by automatically recognizing the body cavity, which includes many organs, and subtracting it from the original image, we recognize the whole skeletal muscles. First, we recognize the abdominal cavity using active balloon model. Second, we improve recognition accuracy of the whole skeletal muscles by deforming the body cavity region based on the boundary of the abdominal cavity using thin-plate splines (TPS) method. Using the proposed method, whole muscle region was well recognized in 7 of 10 cases indicating the usefulness of the method as the necessary basic technologies for differentiation of ALS.
Keyword (in Japanese) (See Japanese page) 
(in English) ALS / CAD / Whole-CT image / Skeletal muscle / / / /  
Reference Info. IEICE Tech. Rep., vol. 115, no. 218, MI2015-55, pp. 35-38, Sept. 2015.
Paper # MI2015-55 
Date of Issue 2015-09-01 (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 2015-09-08 - 2015-09-08 
Place (in Japanese) (See Japanese page) 
Place (in English) Univ. of Electro-communications 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Machine learning and its application to medical image processing 
Paper Information
Registration To MI 
Conference Code 2015-09-MI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Study of the body cavity recognition based on TPS method for systemic skeletal muscle recognition in whole-body CT images 
Sub Title (in English)  
Keyword(1) ALS  
Keyword(2) CAD  
Keyword(3) Whole-CT image  
Keyword(4) Skeletal muscle  
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1st Author's Name Kosuke Ieda  
1st Author's Affiliation Gifu University (Gifu Univ.)
2nd Author's Name Naoki Kamiya  
2nd Author's Affiliation Aichi Prefectural University (Aichi Pref. Univ.)
3rd Author's Name Xiangrong Zhou  
3rd Author's Affiliation Gifu University (Gifu Univ.)
4th Author's Name Megumi Yamada  
4th Author's Affiliation Gifu University (Gifu Univ.)
5th Author's Name Hiroki Kato  
5th Author's Affiliation Gifu University School of Medicine (Gifu Univ.)
6th Author's Name Kagaku Azuma  
6th Author's Affiliation University of Occupational and Environmental Health (University of Occupational and Environmental Health)
7th Author's Name Chisako Muramatsu  
7th Author's Affiliation Gifu University (Gifu Univ.)
8th Author's Name Takeshi Hara  
8th Author's Affiliation Gifu University (Gifu Univ.)
9th Author's Name Hiroshi Fujita  
9th Author's Affiliation Gifu University (Gifu Univ.)
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Speaker Author-1 
Date Time 2015-09-08 15:25:00 
Presentation Time 25 minutes 
Registration for MI 
Paper # MI2015-55 
Volume (vol) vol.115 
Number (no) no.218 
Page pp.35-38 
#Pages 4 
Date of Issue 2015-09-01 (MI) 

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