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Paper Abstract and Keywords
Presentation 2022-07-09 10:30
Non-rigid registration method for longitudinal chest CT images in Covid-19
Yuma Iwao (QST), Naoko Kawata, Yuki Segiguchi, Hideaki Haneishi (Chiba Univ) MI2022-41
Abstract (in Japanese) (See Japanese page) 
(in English) In time series analysis of the lungs, a non-rigid registration method that compensates for differences in respiratory status is needed. Recently, several accurate and fast methods using deep learning have been proposed, but their applicability to time series CT of COVID-19 patients with lesion site changes has not been tested. In this study, we propose a practical process to apply a deep learning method called Voxel Morph to time-series chest CT, and verify its robustness to the imaging features of lesions in COVID-19 patients.
Keyword (in Japanese) (See Japanese page) 
(in English) Chest CT / Time series analysis / Non-rigid registration / Deep Learning / / / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 98, MI2022-41, pp. 34-38, July 2022.
Paper # MI2022-41 
Date of Issue 2022-07-01 (MI) 
ISSN 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 MI2022-41

Conference Information
Committee MI  
Conference Date 2022-07-08 - 2022-07-09 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English) Medical imaging, recoginition, etc. 
Paper Information
Registration To MI 
Conference Code 2022-07-MI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Non-rigid registration method for longitudinal chest CT images in Covid-19 
Sub Title (in English)  
Keyword(1) Chest CT  
Keyword(2) Time series analysis  
Keyword(3) Non-rigid registration  
Keyword(4) Deep Learning  
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1st Author's Name Yuma Iwao  
1st Author's Affiliation ational Institutes for Quantum Science and Technology (QST)
2nd Author's Name Naoko Kawata  
2nd Author's Affiliation Chiba University (Chiba Univ)
3rd Author's Name Yuki Segiguchi  
3rd Author's Affiliation Chiba University (Chiba Univ)
4th Author's Name Hideaki Haneishi  
4th Author's Affiliation Chiba University (Chiba Univ)
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Speaker Author-1 
Date Time 2022-07-09 10:30:00 
Presentation Time 20 minutes 
Registration for MI 
Paper # MI2022-41 
Volume (vol) vol.122 
Number (no) no.98 
Page pp.34-38 
#Pages 5 
Date of Issue 2022-07-01 (MI) 

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