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Paper Abstract and Keywords
Presentation 2016-01-20 13:05
Application to whole CT images of automated recognition method of sternocleidomastoid muscle using atlas-based method
Kosuke Ieda (Gifu Univ.), Naoki Kamiya (Aichi Pref. Univ.), Xiangrong Zhou, Megumi Yamada, Hiroki Kato, Chisako Muramatsu, Takeshi Hara, Toshiharu Miyoshi, Takashi Inuzuka, Masayuki Matsuo, Hiroshi Fujita (Gifu Univ.) MI2015-124
Abstract (in Japanese) (See Japanese page) 
(in English) The purpose of this research is to apply our previous method of automated recognition of a sternocleidomastoid muscle in torso CT images to whole-body CT images. While the imaging range of torso CT images was limited to the lower sternocleidomastoid muscle, whole sternocleidomastoid muscle is targeted in whole-body CT images. As with the previous method, we construct the average shape of the sternocleidomastoid muscle using the atlas. We improved the previous method on the alignment of the atlas to consider the extended imaging range. Therefore, the atlas is aligned using the outline shape of the sternocleidomastoid muscle. As a result, the average concordance rate was 60.3% using 10 cases of whole-body CT images with abnormalities in the skeletal muscles. We successfully recognized the major area of the sternocleidomastoid muscle well.
Keyword (in Japanese) (See Japanese page) 
(in English) ALS / CAD / Whole CT image / Skeletal muscle / Sternocleidomastoid muscle / / /  
Reference Info. IEICE Tech. Rep., vol. 115, no. 401, MI2015-124, pp. 247-250, Jan. 2016.
Paper # MI2015-124 
Date of Issue 2016-01-12 (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)
Download PDF MI2015-124

Conference Information
Committee MI  
Conference Date 2016-01-19 - 2016-01-20 
Place (in Japanese) (See Japanese page) 
Place (in English) Bunka Tenbusu Kan 
Topics (in Japanese) (See Japanese page) 
Topics (in English) General topics in medical imaging 
Paper Information
Registration To MI 
Conference Code 2016-01-MI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Application to whole CT images of automated recognition method of sternocleidomastoid muscle using atlas-based method 
Sub Title (in English)  
Keyword(1) ALS  
Keyword(2) CAD  
Keyword(3) Whole CT image  
Keyword(4) Skeletal muscle  
Keyword(5) Sternocleidomastoid muscle  
Keyword(6)  
Keyword(7)  
Keyword(8)  
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 Chisako Muramatsu  
6th Author's Affiliation Gifu University (Gifu Univ.)
7th Author's Name Takeshi Hara  
7th Author's Affiliation Gifu University (Gifu Univ.)
8th Author's Name Toshiharu Miyoshi  
8th Author's Affiliation Gifu University School of Medicine (Gifu Univ.)
9th Author's Name Takashi Inuzuka  
9th Author's Affiliation Gifu University (Gifu Univ.)
10th Author's Name Masayuki Matsuo  
10th Author's Affiliation Gifu University (Gifu Univ.)
11th Author's Name Hiroshi Fujita  
11th Author's Affiliation Gifu University (Gifu Univ.)
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Speaker Author-1 
Date Time 2016-01-20 13:05:00 
Presentation Time 40 minutes 
Registration for MI 
Paper # MI2015-124 
Volume (vol) vol.115 
Number (no) no.401 
Page pp.247-250 
#Pages 4 
Date of Issue 2016-01-12 (MI) 

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