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Paper Abstract and Keywords
Presentation 2021-03-16 14:00
Deformable mesh registration of partial lung shapes based on learning of pneumothorax deformation
Hinako Maekawa, Megumi Nakao (Kyoto Univ.), Katsutaka Mineura (Kyoto Univ. Hospital), Toyofumi F. Chen-Yoshikawa (Nagoya Univ. Hospital), Tetsuya Matsuda (Kyoto Univ.) MI2020-74
Abstract (in Japanese) (See Japanese page) 
(in English) Intraoperative pneumothorax is accompanied by large deformation including rotation. As intraoperative cone-beam CT (CBCT) images have a limited imaging area, so it is difficult to obtain an accurate correspondence between inflated and deflated lungs. In this study, we propose a deformable mesh registration method based on learning the statistical characteristics of pneumothorax deformation, targeting the partial shape of the lung included in paired CBCT images in the inflated and deflated states. We have evaluated registration accuracy for 10 CBCT images of inflated/deflated lungs, and confirmed that the proposed method achieves stable registration with smaller errors compared to existing methods.
Keyword (in Japanese) (See Japanese page) 
(in English) Deformable mesh registration / Kernel method / Statistical modeling / Pneumothorax deformation / / / /  
Reference Info. IEICE Tech. Rep., vol. 120, no. 431, MI2020-74, pp. 112-117, March 2021.
Paper # MI2020-74 
Date of Issue 2021-03-08 (MI) 
ISSN Online edition: ISSN 2432-6380
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 2021-03-15 - 2021-03-17 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Medical Imaging 
Paper Information
Registration To MI 
Conference Code 2021-03-MI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Deformable mesh registration of partial lung shapes based on learning of pneumothorax deformation 
Sub Title (in English)  
Keyword(1) Deformable mesh registration  
Keyword(2) Kernel method  
Keyword(3) Statistical modeling  
Keyword(4) Pneumothorax deformation  
1st Author's Name Hinako Maekawa  
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 Katsutaka Mineura  
3rd Author's Affiliation Kyoto University Hospital (Kyoto Univ. Hospital)
4th Author's Name Toyofumi F. Chen-Yoshikawa  
4th Author's Affiliation Nagoya University Hospital (Nagoya Univ. Hospital)
5th Author's Name Tetsuya Matsuda  
5th Author's Affiliation Kyoto University (Kyoto Univ.)
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Speaker Author-1 
Date Time 2021-03-16 14:00:00 
Presentation Time 15 minutes 
Registration for MI 
Paper # MI2020-74 
Volume (vol) vol.120 
Number (no) no.431 
Page pp.112-117 
Date of Issue 2021-03-08 (MI) 

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