Paper Abstract and Keywords |
Presentation |
2013-01-25 10:50
Automated recognition of the rectus abdominis muscle in CT images based on a virtual image-unfolding technique by the removal of the subcutaneous fat region Naoki Kamiya (Toyota Nat'l Col. Tech.), Chisako Muramatsu, Xiangrong Zhou, Huayue Chen, Takeshi Hara, Hiroaki Hoshi, Hiroshi Fujita (Gifu Univ.) MI2012-99 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
We had proposed an automated method for recognizing skeletal muscle in torso X-ray CT images using skeletal positional information and shape model of its muscle, and confirmed that the method was effective in recognizing the muscles. The previous method recognized the muscle’s connecting points on the virtually unfolded image of the human body as landmarks and fitted a shape model based on the positional information obtained from the landmarks, to recognize the muscle region automatically. However, there was a variation in recognition accuracy at the site where the surface shape is greatly different depending on the difference in physique such as an abdominal region. In this paper, we have improved the virtual image-unfolding technique. The proposed method removed the subcutaneous fat area beforehand because of its significant difference by physique between patients, and applied the remaining regions for recognition of the muscle. We applied this methodology to 10 patients with no evidence of abnormalities to the rectus abdominis muscle. We achieved the 89% concordance with manual segmentation and confirmed the effectiveness of the muscle polyventer shape modeling and recognition. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
CAD / X-ray CT images / skeletal muscle / rectus abdominis muscle / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 112, no. 411, MI2012-99, pp. 197-200, Jan. 2013. |
Paper # |
MI2012-99 |
Date of Issue |
2013-01-17 (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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MI2012-99 |
Conference Information |
Committee |
MI |
Conference Date |
2013-01-24 - 2013-01-25 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Bunka Tenbusu Kan |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Computational anatomy and its application to computer assisted diagnosis and therapy, etc |
Paper Information |
Registration To |
MI |
Conference Code |
2013-01-MI |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Automated recognition of the rectus abdominis muscle in CT images based on a virtual image-unfolding technique by the removal of the subcutaneous fat region |
Sub Title (in English) |
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Keyword(1) |
CAD |
Keyword(2) |
X-ray CT images |
Keyword(3) |
skeletal muscle |
Keyword(4) |
rectus abdominis muscle |
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1st Author's Name |
Naoki Kamiya |
1st Author's Affiliation |
Toyota National College of Technology (Toyota Nat'l Col. Tech.) |
2nd Author's Name |
Chisako Muramatsu |
2nd Author's Affiliation |
Gifu University (Gifu Univ.) |
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 |
Takeshi Hara |
5th Author's Affiliation |
Gifu University (Gifu Univ.) |
6th Author's Name |
Hiroaki Hoshi |
6th Author's Affiliation |
Gifu University (Gifu Univ.) |
7th Author's Name |
Hiroshi Fujita |
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Gifu University (Gifu Univ.) |
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Speaker |
Author-1 |
Date Time |
2013-01-25 10:50:00 |
Presentation Time |
15 minutes |
Registration for |
MI |
Paper # |
MI2012-99 |
Volume (vol) |
vol.112 |
Number (no) |
no.411 |
Page |
pp.197-200 |
#Pages |
4 |
Date of Issue |
2013-01-17 (MI) |
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