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Paper Abstract and Keywords
Presentation 2007-05-24 11:40
Semi-automated Segmentation of the Femur from 3D CT Images Using Multi-Level Statistical Shape Model
Futoshi Yokota (Kobe Univ.), Ryuji Shimada, Toshiyuki Okada (Osaka Univ.), Yoshiyuki Kagiyama (Kobe Univ.), Masahiko Nakamoto (Osaka Univ.), Masaki Takao (Osaka Koseinenkin Hospital), Nobuhiko Sugano, Yoshinobu Sato, Hideki Yoshikawa (Osaka Univ.), Yukio Tada (Kobe Univ.) PRMU2007-9 MI2007-9
Abstract (in Japanese) (See Japanese page) 
(in English) We have been developed automated preoperative planning system for total hip arthrorplasty. One problem in preprocessing of input data is to reconstruct segmented bone models, as most part of the process depend on manual operation and take amount of time. In this paper, we describe semi-automated segmentation method of femur from 3D-CT images using multi-level statistical shape model. We use manually collected points of femoral head surface to estimate anatomical structure of femoral head. We applied this method to 22 cases and confirmed mean error is about 1 mm when 30 points were collected. This showed a usefulness of propose method.
Keyword (in Japanese) (See Japanese page) 
(in English) Femur segmentation / Statistical shape model fitting / Intensity profile analysis / Parameter tuning / / / /  
Reference Info. IEICE Tech. Rep., vol. 107, no. 58, MI2007-9, pp. 47-52, May 2007.
Paper # MI2007-9 
Date of Issue 2007-05-17 (PRMU, MI) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
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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 PRMU MI  
Conference Date 2007-05-24 - 2007-05-25 
Place (in Japanese) (See Japanese page) 
Place (in English) Mie Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To MI 
Conference Code 2007-05-PRMU-MI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Semi-automated Segmentation of the Femur from 3D CT Images Using Multi-Level Statistical Shape Model 
Sub Title (in English)  
Keyword(1) Femur segmentation  
Keyword(2) Statistical shape model fitting  
Keyword(3) Intensity profile analysis  
Keyword(4) Parameter tuning  
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1st Author's Name Futoshi Yokota  
1st Author's Affiliation Kobe University (Kobe Univ.)
2nd Author's Name Ryuji Shimada  
2nd Author's Affiliation Osaka University (Osaka Univ.)
3rd Author's Name Toshiyuki Okada  
3rd Author's Affiliation Osaka University (Osaka Univ.)
4th Author's Name Yoshiyuki Kagiyama  
4th Author's Affiliation Kobe University (Kobe Univ.)
5th Author's Name Masahiko Nakamoto  
5th Author's Affiliation Osaka University (Osaka Univ.)
6th Author's Name Masaki Takao  
6th Author's Affiliation Osaka Koseinenkin Hospital (Osaka Koseinenkin Hospital)
7th Author's Name Nobuhiko Sugano  
7th Author's Affiliation Osaka University (Osaka Univ.)
8th Author's Name Yoshinobu Sato  
8th Author's Affiliation Osaka University (Osaka Univ.)
9th Author's Name Hideki Yoshikawa  
9th Author's Affiliation Osaka University (Osaka Univ.)
10th Author's Name Yukio Tada  
10th Author's Affiliation Kobe University (Kobe Univ.)
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Speaker Author-1 
Date Time 2007-05-24 11:40:00 
Presentation Time 30 minutes 
Registration for MI 
Paper # PRMU2007-9, MI2007-9 
Volume (vol) vol.107 
Number (no) no.57(PRMU), no.58(MI) 
Page pp.47-52 
#Pages
Date of Issue 2007-05-17 (PRMU, MI) 


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