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Paper Abstract and Keywords
Presentation 2016-01-19 11:00
Automated segmentation of pelvis from CT using disease-specific statistical shape model
Otani Yuta, Futoshi Yokota, Yoshito Otake (NAIST), Masaki Takao, Takeshi Ogawa, Keisuke Uemura, Nobuhiko Sugano (Osaka Univ.), Yoshinobu Sato (NAIST) MI2015-78
Abstract (in Japanese) (See Japanese page) 
(in English) It is necessary to extract the accurate shape of pelvis from CT for our automated surgical planning method of acetabular component for total hip arthroplasty. In the diseased hip joint with large dislocation, the shape of acetabulum and femoral head is deformed, and so extracting the accurate shape is much difficult. Here we assess the accuracy of extracting the shape of pelvis from over secondary osteoarthritis. We corresponded points on statistical shape models with secondary osteoarthritis as a standard and we extracted the region of pelvis, so that the accuracy of extracting the pelvis region is ensured.
Keyword (in Japanese) (See Japanese page) 
(in English) statistical shape model / disease-specific statistical shape model / preoperative planning / / / / /  
Reference Info. IEICE Tech. Rep., vol. 115, no. 401, MI2015-78, pp. 31-34, Jan. 2016.
Paper # MI2015-78 
Date of Issue 2016-01-12 (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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Conference Information
Committee MI  
Conference Date 2016-01-19 - 2016-01-20 
Place (in Japanese) (See Japanese page) 
Place (in English) Bunka Tenbusu Kan 
Topics (in Japanese) (See Japanese page) 
Topics (in English) General topics in medical imaging 
Paper Information
Registration To MI 
Conference Code 2016-01-MI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Automated segmentation of pelvis from CT using disease-specific statistical shape model 
Sub Title (in English)  
Keyword(1) statistical shape model  
Keyword(2) disease-specific statistical shape model  
Keyword(3) preoperative planning  
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1st Author's Name Otani Yuta  
1st Author's Affiliation Nara Institute of Science and Technology (NAIST)
2nd Author's Name Futoshi Yokota  
2nd Author's Affiliation Nara Institute of Science and Technology (NAIST)
3rd Author's Name Yoshito Otake  
3rd Author's Affiliation Nara Institute of Science and Technology (NAIST)
4th Author's Name Masaki Takao  
4th Author's Affiliation Osaka University (Osaka Univ.)
5th Author's Name Takeshi Ogawa  
5th Author's Affiliation Osaka University (Osaka Univ.)
6th Author's Name Keisuke Uemura  
6th Author's Affiliation Osaka University (Osaka Univ.)
7th Author's Name Nobuhiko Sugano  
7th Author's Affiliation Osaka University (Osaka Univ.)
8th Author's Name Yoshinobu Sato  
8th Author's Affiliation Nara Institute of Science and Technology (NAIST)
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Speaker Author-1 
Date Time 2016-01-19 11:00:00 
Presentation Time 12 minutes 
Registration for MI 
Paper # MI2015-78 
Volume (vol) vol.115 
Number (no) no.401 
Page pp.31-34 
#Pages 4 
Date of Issue 2016-01-12 (MI) 

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