Paper Abstract and Keywords |
Presentation |
2016-05-19 14:00
Automated Recognition of the Anatomical Attachment Location for Constructing the Skeletal Muscle Model in the Scapular Region Tatsuya Katafuchi (Gifu Univ.), Naoki Kamiya (Aichi Pref. Univ.), Xiangrong Zhou (Gifu Univ.), Hiroki kato (Gifu Univ. Hosp.), Huayue Chen (Univ. of Occupational and Environmental Health), Asumi Kamiya (Higashi Nagoya Hosp.), Chisako Muramatsu, Takeshi Hara, Masayuki Matsuo, Hiroshi Fujita (Gifu Univ.) SIP2016-6 IE2016-6 PRMU2016-6 MI2016-6 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
The effectiveness of automated recognition method using the skeletal muscle model has been demonstrated, as one of the automated recognition methods of skeletal muscles in the CT images. It is important to recognize anatomical attachment locations of skeletal muscles in order to use the skeletal muscle model. In the scapular region, many skeletal muscles including the supraspinatus muscle which we have already recognized are attached to the scapula. Scapula has many anatomical features, and its shape is complicated. In this study, we achieved automatic recognition of spine of scapula, coracoid process, superior margin, medial margin and superior angle by using scapula of 13 cases which were segmented from CT images. In the future, we will apply the anatomical features with high recognition rates in the skeletal muscle recognition. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Scapular Region / Anatomical Attachment Location / Skeletal Muscle / CAD / Torso CT Image / / / |
Reference Info. |
IEICE Tech. Rep., vol. 116, no. 39, MI2016-6, pp. 27-30, May 2016. |
Paper # |
MI2016-6 |
Date of Issue |
2016-05-12 (SIP, IE, PRMU, 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 |
SIP2016-6 IE2016-6 PRMU2016-6 MI2016-6 |
|