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Paper Abstract and Keywords
Presentation 2013-01-24 10:30
Construction of a sparse non-directional graphical model on anatomical landmark distances by the Graphical Lasso -- Feasibility study for application to automatic landmark detection system --
Shouhei Hanaoka, Yoshitaka Masutani, Mitsutaka Nemoto, Yukihiro Nomura, Soichiro Miki, Takeharu Yoshikawa, Naoto Hayashi, Kuni Ohtomo (Univ. of Tokyo) MI2012-64
Abstract (in Japanese) (See Japanese page) 
(in English) We have been developed an automatic detection system for anatomical landmarks in CT images. The system utilizes a non-sparse multivariable Gaussian statistical model on inter-landmark distances. The aim of this study is to extend our previous method to sparse multivariable Gaussian model by GPGPU-implemented Graphical lasso method. The probabilistic distribution of inter-landmark distances was estimated as a multiple Gaussian distribution with a sparse precision matrix. Feasibility of improvement of the landmark detection accuracy with this novel inter-landmark distance model was evaluated.
Keyword (in Japanese) (See Japanese page) 
(in English) Anatomical landmark / CT / statistical shape model / graphical lasso / / / /  
Reference Info. IEICE Tech. Rep., vol. 112, no. 411, MI2012-64, pp. 13-18, Jan. 2013.
Paper # MI2012-64 
Date of Issue 2013-01-17 (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 2013-01-24 - 2013-01-25 
Place (in Japanese) (See Japanese page) 
Place (in English) Bunka Tenbusu Kan 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Computational anatomy and its application to computer assisted diagnosis and therapy, etc 
Paper Information
Registration To MI 
Conference Code 2013-01-MI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Construction of a sparse non-directional graphical model on anatomical landmark distances by the Graphical Lasso 
Sub Title (in English) Feasibility study for application to automatic landmark detection system 
Keyword(1) Anatomical landmark  
Keyword(2) CT  
Keyword(3) statistical shape model  
Keyword(4) graphical lasso  
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1st Author's Name Shouhei Hanaoka  
1st Author's Affiliation The University of Tokyo (Univ. of Tokyo)
2nd Author's Name Yoshitaka Masutani  
2nd Author's Affiliation The University of Tokyo (Univ. of Tokyo)
3rd Author's Name Mitsutaka Nemoto  
3rd Author's Affiliation The University of Tokyo (Univ. of Tokyo)
4th Author's Name Yukihiro Nomura  
4th Author's Affiliation The University of Tokyo (Univ. of Tokyo)
5th Author's Name Soichiro Miki  
5th Author's Affiliation The University of Tokyo (Univ. of Tokyo)
6th Author's Name Takeharu Yoshikawa  
6th Author's Affiliation The University of Tokyo (Univ. of Tokyo)
7th Author's Name Naoto Hayashi  
7th Author's Affiliation The University of Tokyo (Univ. of Tokyo)
8th Author's Name Kuni Ohtomo  
8th Author's Affiliation The University of Tokyo (Univ. of Tokyo)
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Speaker Author-1 
Date Time 2013-01-24 10:30:00 
Presentation Time 15 minutes 
Registration for MI 
Paper # MI2012-64 
Volume (vol) vol.112 
Number (no) no.411 
Page pp.13-18 
#Pages
Date of Issue 2013-01-17 (MI) 


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