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Paper Abstract and Keywords
Presentation 2009-01-21 09:50
[Poster Presentation] Construction of Hierarchical Statistical Shape and Motion Model of Hip Joint
Futoshi Yokota (Kobe Univ.), Toshiyuki Okada, Masahiko Nakamoto, Masaki Takao, Nobuhiko Sugano, Hideki Yoshikawa (Osaka Univ.), Yukio Tada (Kobe Univ.), Yoshinobu Sato (Osaka Univ.) MI2008-180
Abstract (in Japanese) (See Japanese page) 
(in English) Segmentation and separation of the femur and pelvis from 3D CT images are prerequisite of patient specific surgical planning and simulation. Separation of the femoral head and acetablum is one of main difficulties for diseased hip joint because the joint space becomes extremely narrow. Our current method for the separation involves manual specification using independent femur and pelvis statistical shape models (SSMs). In this paper, we construct and evaluate statistical shape and motion model (SSMM) of the hip joint, in which both the femur and pelvis are integrated, to automate the separation. Possible joint poses are simulationally generated and embedded into SSMM to deal with unknown arrangement of the femur and pelvis in the CT images. Further, the SSMM is hierarchically constructed to represent wider variety of femur and pelvis shapes for different poses. In the experiments, SSMM of the hip joint was constructed using 22 cases. We evaluated prediction performance of unknown femoral head and acetabulum shapes from known other parts of the femur and pelvis using the proposed SSMM, and confirmed accuracy improvement of around 25% compared with conventional independent SSMs.
Keyword (in Japanese) (See Japanese page) 
(in English) multi-organ statistical shape model / hierarchical statistical shape model / hip joint / joint motion / segmentation / / /  
Reference Info. IEICE Tech. Rep., vol. 108, no. 385, MI2008-180, pp. 545-550, Jan. 2009.
Paper # MI2008-180 
Date of Issue 2009-01-12 (MI) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
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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 2009-01-19 - 2009-01-21 
Place (in Japanese) (See Japanese page) 
Place (in English) National Taiwan University 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Medical Imaging 
Paper Information
Registration To MI 
Conference Code 2009-01-MI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Construction of Hierarchical Statistical Shape and Motion Model of Hip Joint 
Sub Title (in English)  
Keyword(1) multi-organ statistical shape model  
Keyword(2) hierarchical statistical shape model  
Keyword(3) hip joint  
Keyword(4) joint motion  
Keyword(5) segmentation  
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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 Masahiko Nakamoto  
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 Hideki Yoshikawa  
6th Author's Affiliation Osaka University (Osaka Univ.)
7th Author's Name Yukio Tada  
7th Author's Affiliation Kobe University (Kobe Univ.)
8th Author's Name Yoshinobu Sato  
8th Author's Affiliation Osaka University (Osaka Univ.)
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Speaker Author-1 
Date Time 2009-01-21 09:50:00 
Presentation Time 140 minutes 
Registration for MI 
Paper # MI2008-180 
Volume (vol) vol.108 
Number (no) no.385 
Page pp.545-550 
#Pages
Date of Issue 2009-01-12 (MI) 


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