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Paper Abstract and Keywords
Presentation 2017-01-18 16:47
Sparse Shape Modeling in Mandibular Reconstruction with Fibular Segments
Riho Kawasaki, Megumi Nakao (Kyoto Univ.), Yuichiro Imai (Rakuwakai Otowa Hospital), Nobuhiro Ueda, Toshihide Hatanaka, Mao Shiba, Tadaaki Kirita (Nara Medical Univ.), Tetsuya Matsuda (Kyoto Univ.) MI2016-120
Abstract (in Japanese) (See Japanese page) 
(in English) Mandibular reconstruction with fibular segments needs preoperative planning for the precise placement of segments. However, recent interactive planning software cannot secure objectivity of the planning and time-consuming trial-and-error processes are required. In this paper, we propose an automated preoperative planning method which employs sparse shape modeling: in this modeling, we select a small subset of the data whose features are similar to the test data from a prepared preoperative planning dataset to make an example of reconstruction via a linear combination of the data. We conducted experiments using 120 data planned by surgeons and verified the effectiveness of the proposed method.
Keyword (in Japanese) (See Japanese page) 
(in English) sparse modeling / automated planning / mandibular reconstruction / / / / /  
Reference Info. IEICE Tech. Rep., vol. 116, no. 393, MI2016-120, pp. 195-200, Jan. 2017.
Paper # MI2016-120 
Date of Issue 2017-01-11 (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)
Download PDF MI2016-120

Conference Information
Committee MI  
Conference Date 2017-01-18 - 2017-01-18 
Place (in Japanese) (See Japanese page) 
Place (in English) Tenbusu Naha 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Medical Image Engineering, Analysis, Recognition, etc. 
Paper Information
Registration To MI 
Conference Code 2017-01-MI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Sparse Shape Modeling in Mandibular Reconstruction with Fibular Segments 
Sub Title (in English)  
Keyword(1) sparse modeling  
Keyword(2) automated planning  
Keyword(3) mandibular reconstruction  
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1st Author's Name Riho Kawasaki  
1st Author's Affiliation Kyoto University (Kyoto Univ.)
2nd Author's Name Megumi Nakao  
2nd Author's Affiliation Kyoto University (Kyoto Univ.)
3rd Author's Name Yuichiro Imai  
3rd Author's Affiliation Rakuwakai Otowa Hospital (Rakuwakai Otowa Hospital)
4th Author's Name Nobuhiro Ueda  
4th Author's Affiliation Nara Medical University (Nara Medical Univ.)
5th Author's Name Toshihide Hatanaka  
5th Author's Affiliation Nara Medical University (Nara Medical Univ.)
6th Author's Name Mao Shiba  
6th Author's Affiliation Nara Medical University (Nara Medical Univ.)
7th Author's Name Tadaaki Kirita  
7th Author's Affiliation Nara Medical University (Nara Medical Univ.)
8th Author's Name Tetsuya Matsuda  
8th Author's Affiliation Kyoto University (Kyoto Univ.)
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Speaker Author-1 
Date Time 2017-01-18 16:47:00 
Presentation Time 12 minutes 
Registration for MI 
Paper # MI2016-120 
Volume (vol) vol.116 
Number (no) no.393 
Page pp.195-200 
#Pages 6 
Date of Issue 2017-01-11 (MI) 

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