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Paper Abstract and Keywords
Presentation 2015-03-02 13:40
Development of an automated recognition method of the iliacus muscle based on a muscle fiber direction in torso CT images
Naoki Kamiya, Yoshiki Ando (NITTC), Xiangrong Zhou, Huayue Chen, Chisako Muramatsu, Takeshi Hara, Hiroshi Fujita (Gifu Univ.) MI2014-65
Abstract (in Japanese) (See Japanese page) 
(in English) We have proposed an automatic recognition method of skeletal muscle in CT images based on a shape model. We also proposed an automated recognition method of a psoas major muscle using shape model. We aim to recognize the iliacus muscle. The muscle fiber of iliacus muscle has characteristic direction. In this study, using 20 cases of training images, to obtain the approximate curve of iliacus muscle fiber. Specifically, the midpoint of a line connecting the origin and insertion, the distance value from the midpoint to the lobe of the iliacus muscle. Then, by calculating the ratio for this point and the origin (same as insertion and midpoint), to apply the test cases. In the recognition process, using curved surface generated by the approximated curve as a mask. The recognition result in five cases with no abnormality in skeletal muscle, obtained 76.9 % average concordance rate. Therefore, it is considered that the proposed method is effective for the recognition of the initial region of iliacus muscle with highly accuracy. In the future, we will integrate the recognition method of psoas major muscle, to develop the analytical technique of iliopsoas area. Furthermore, it is necessary to sophisticated to muscle function analysis.
Keyword (in Japanese) (See Japanese page) 
(in English) Iliacus muscle / CAD / Torso CT image / Skeletal muscle / / / /  
Reference Info. IEICE Tech. Rep., vol. 114, no. 482, MI2014-65, pp. 63-66, March 2015.
Paper # MI2014-65 
Date of Issue 2015-02-23 (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 2015-03-02 - 2015-03-03 
Place (in Japanese) (See Japanese page) 
Place (in English) Hotel Miyahira 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Creation of multidisciplinary computational anatomy, Forefront of medical image engineering, General topics in medical imaging 
Paper Information
Registration To MI 
Conference Code 2015-03-MI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Development of an automated recognition method of the iliacus muscle based on a muscle fiber direction in torso CT images 
Sub Title (in English)  
Keyword(1) Iliacus muscle  
Keyword(2) CAD  
Keyword(3) Torso CT image  
Keyword(4) Skeletal muscle  
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1st Author's Name Naoki Kamiya  
1st Author's Affiliation National Institute of Technology, Toyota College (NITTC)
2nd Author's Name Yoshiki Ando  
2nd Author's Affiliation National Institute of Technology, Toyota College (NITTC)
3rd Author's Name Xiangrong Zhou  
3rd Author's Affiliation Gifu University (Gifu Univ.)
4th Author's Name Huayue Chen  
4th Author's Affiliation Gifu University (Gifu Univ.)
5th Author's Name Chisako Muramatsu  
5th Author's Affiliation Gifu University (Gifu Univ.)
6th Author's Name Takeshi Hara  
6th Author's Affiliation Gifu University (Gifu Univ.)
7th Author's Name Hiroshi Fujita  
7th Author's Affiliation Gifu University (Gifu Univ.)
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Speaker Author-1 
Date Time 2015-03-02 13:40:00 
Presentation Time 80 minutes 
Registration for MI 
Paper # MI2014-65 
Volume (vol) vol.114 
Number (no) no.482 
Page pp.63-66 
#Pages
Date of Issue 2015-02-23 (MI) 


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