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Paper Abstract and Keywords
Presentation 2012-01-19 11:20
Automated Musculoskeletal Segmentation from 3D CT Data of the Hip -- Segmentation of 18 individual muscles and muscle groups using a small number of training datasets based on hierarchical spatial normalization --
Mika Takaya (Osaka Univ.), Futoshi Yokota (Kobe Univ.), Toshiyuki Okada, Masaki Takao, Nobuhiko Sugano (Osaka Univ.), Yukio Tada (Kobe Univ.), Noriyuki Tomiyama, Yoshinobu Sato (Osaka Univ.) MI2011-95
Abstract (in Japanese) (See Japanese page) 
(in English) The objective of this study is an automatic segmentation of individual muscles and muscle groups of hip from 3D CT images. In this study, we expand the conventional hybrid method and suggest method for segmentation of individual muscles and muscle groups of hip from 3D CT images. We applied the proposed method to 19 cases, and evaluated the estimation performance by comparing with nonrigid registration method proposed by Rueckert et al and hybrid method. As a result, the average distance error of the proposed method was 3.26 mm while the average distance error of the nonrigid registration method was 4.06 mm.From these results, the proposed method would be useful.
Keyword (in Japanese) (See Japanese page) 
(in English) registration / weighted decision fusion / rectus femoris muscle / canonical correlation analysis / partial least squares / / /  
Reference Info. IEICE Tech. Rep., vol. 111, no. 389, MI2011-95, pp. 97-102, Jan. 2012.
Paper # MI2011-95 
Date of Issue 2012-01-12 (MI) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
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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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Conference Information
Committee MI  
Conference Date 2012-01-19 - 2012-01-20 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To MI 
Conference Code 2012-01-MI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Automated Musculoskeletal Segmentation from 3D CT Data of the Hip 
Sub Title (in English) Segmentation of 18 individual muscles and muscle groups using a small number of training datasets based on hierarchical spatial normalization 
Keyword(1) registration  
Keyword(2) weighted decision fusion  
Keyword(3) rectus femoris muscle  
Keyword(4) canonical correlation analysis  
Keyword(5) partial least squares  
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1st Author's Name Mika Takaya  
1st Author's Affiliation Osaka University (Osaka Univ.)
2nd Author's Name Futoshi Yokota  
2nd Author's Affiliation Kobe University (Kobe Univ.)
3rd Author's Name Toshiyuki Okada  
3rd Author's Affiliation Osaka University (Osaka Univ.)
4th Author's Name Masaki Takao  
4th Author's Affiliation Osaka University (Osaka Univ.)
5th Author's Name Nobuhiko Sugano  
5th Author's Affiliation Osaka University (Osaka Univ.)
6th Author's Name Yukio Tada  
6th Author's Affiliation Kobe University (Kobe Univ.)
7th Author's Name Noriyuki Tomiyama  
7th Author's Affiliation Osaka University (Osaka Univ.)
8th Author's Name Yoshinobu Sato  
8th Author's Affiliation Osaka University (Osaka Univ.)
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Speaker Author-1 
Date Time 2012-01-19 11:20:00 
Presentation Time 30 minutes 
Registration for MI 
Paper # MI2011-95 
Volume (vol) vol.111 
Number (no) no.389 
Page pp.97-102 
#Pages 6 
Date of Issue 2012-01-12 (MI) 

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