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Paper Abstract and Keywords
Presentation 2011-11-29 16:40
Automated Segmentation of Musculoskeletal from 3D CT Data of Hip -- Hybrid Method of Multi-Atlas and Statistical Prediction --
Futoshi Yokota (Kobe Univ.), Toshiyuki Okada, Mika Takaya, Masaki Takao, Nobuhiko Sugano (Osaka Univ.), Yukio Tada (Kobe Univ.), Noriyuki Tomiyama, Yoshinobu Sato (Osaka Univ.) MI2011-75
Abstract (in Japanese) (See Japanese page) 
(in English) Segmentation of the musculo-skeletal from 3D images is needed for patient-specific musculo-skeletal simulation. Our aim is to automate segmentation of the individual muscles from 3D CT data. In this paper, multi-atlas based method using statistical prediction is proposed. The first step is segmentation of the skin and bone.The second step is segmentation of the entire muscle region. The final step is statistical prediction and segmentation of the individual muscles. We applied the proposed method to 20 datasets. Compared to the manual trace, Jaccard Index were $86.7 \pm 4.3 \%$ in the gluteus maximus muscle, $78.4 \pm 7.5 \%$ in the gluteus medius muscle and $77.0 \pm 10.1 \%$ in the rectus femoris muscle, which demonstrates usefulness of the proposed method.
Keyword (in Japanese) (See Japanese page) 
(in English) registration / Weighted decision fusion / Principal component analysis / Canonical correlation analysis / / / /  
Reference Info. IEICE Tech. Rep., vol. 111, no. 331, MI2011-75, pp. 71-76, Nov. 2011.
Paper # MI2011-75 
Date of Issue 2011-11-22 (MI) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
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 2011-11-29 - 2011-11-29 
Place (in Japanese) (See Japanese page) 
Place (in English) Univ. Hyogo (Portisland C.) 
Topics (in Japanese) (See Japanese page) 
Topics (in English) HPC Applications for Medical, General Medical Imaging 
Paper Information
Registration To MI 
Conference Code 2011-11-MI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Automated Segmentation of Musculoskeletal from 3D CT Data of Hip 
Sub Title (in English) Hybrid Method of Multi-Atlas and Statistical Prediction 
Keyword(1) registration  
Keyword(2) Weighted decision fusion  
Keyword(3) Principal component analysis  
Keyword(4) Canonical correlation analysis  
1st Author's Name Futoshi Yokota  
1st Author's Affiliation Kobe University (Kobe Univ.)
2nd Author's Name Toshiyuki Okada  
2nd Author's Affiliation Osaka University (Osaka Univ.)
3rd Author's Name Mika Takaya  
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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Date Time 2011-11-29 16:40:00 
Presentation Time 15 
Registration for MI 
Paper # IEICE-MI2011-75 
Volume (vol) IEICE-111 
Number (no) no.331 
Page pp.71-76 
#Pages IEICE-6 
Date of Issue IEICE-MI-2011-11-22 

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