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 |
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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MI2014-65 |
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) |
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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 |
4 |
Date of Issue |
2015-02-23 (MI) |
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