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Paper Abstract and Keywords
Presentation 2016-01-19 10:48
Spatiotemporal Statistical Shape Model Construction Using Weighted PCA
Ryosuke Nakano, Saadia Binte Alam, Syoji Kobashi, Masakazu Morimoto, Satoru Aikawa (Univ of Hyogo), Akinobu Shimizu (Tokyo Univ of Agriculture and Technology) MI2015-77
Abstract (in Japanese) (See Japanese page) 
(in English) Statistical shape model (SSM), which represents a static organ shape, has been applied to some medical image understanding problems. To understand living human body deeply, it is desired to enhance the SSM to a temporal SSM. This paper proposes a method to construct a growing SSM, which represents temporal change of organ shape. The method is based on weighted PCA using a temporal weight function. To evaluate the proposed method, we report the experimental results for artificial data and neonatal brain shape data. The artificial data are represented by a point distribution model, and the neonatal brain shape data are represented by a level set model.
Keyword (in Japanese) (See Japanese page) 
(in English) Spatiotemporal statistical model / Weighted PCA / Neonatal brain shape / / / / /  
Reference Info. IEICE Tech. Rep., vol. 115, no. 401, MI2015-77, pp. 25-29, Jan. 2016.
Paper # MI2015-77 
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)
Download PDF MI2015-77

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) Spatiotemporal Statistical Shape Model Construction Using Weighted PCA 
Sub Title (in English)  
Keyword(1) Spatiotemporal statistical model  
Keyword(2) Weighted PCA  
Keyword(3) Neonatal brain shape  
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1st Author's Name Ryosuke Nakano  
1st Author's Affiliation University of Hyogo (Univ of Hyogo)
2nd Author's Name Saadia Binte Alam  
2nd Author's Affiliation University of Hyogo (Univ of Hyogo)
3rd Author's Name Syoji Kobashi  
3rd Author's Affiliation University of Hyogo (Univ of Hyogo)
4th Author's Name Masakazu Morimoto  
4th Author's Affiliation University of Hyogo (Univ of Hyogo)
5th Author's Name Satoru Aikawa  
5th Author's Affiliation University of Hyogo (Univ of Hyogo)
6th Author's Name Akinobu Shimizu  
6th Author's Affiliation Tokyo University of Agriculture and Technology (Tokyo Univ of Agriculture and Technology)
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Speaker Author-1 
Date Time 2016-01-19 10:48:00 
Presentation Time 12 minutes 
Registration for MI 
Paper # MI2015-77 
Volume (vol) vol.115 
Number (no) no.401 
Page pp.25-29 
#Pages 5 
Date of Issue 2016-01-12 (MI) 

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