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Paper Abstract and Keywords
Presentation 2021-07-09 14:30
Asynchrony analysis of diaphragmatic movement for evaluation of respiratory dynamics in COPD patients
Xiao Tan (Chiba Univ.), Yuma Iwao (QST), Chen Ye, Kotaro Takahashi (Chiba Univ.), Yoshitada Masuda (Chiba Univ. Hospital), Ayako Shimada, Naoko Kawata, Hideaki Haneishi (Chiba Univ.) MI2021-20
Abstract (in Japanese) (See Japanese page) 
(in English) The state of lung movement is an important index for the diagnosis of the chronic obstructive pulmonary disease (COPD). To detect the asynchronous movements of the COPD patients’ lung diaphragms, this paper proposes a novel evaluation method of respiratory dynamics, using the metric of average correlation coefficient (ACC) calculated from the diaphragm phase change in sequential sagittal magnetic resonance (MR) images. In our method, first, the diaphragm profile is extracted from the MR image of the sagittal plane of the thoracic cavity, based on the deep learning. Second, the temporal waveforms corresponding to each spaced position of a diaphragm are generated, and the ACC metric on the diaphragm movement is calculated by the similarities between each two waveforms. In the experiments, the proposed method with the ACC metric was confirmed to realize the effective detection of the asynchronous diaphragm movements, for the respiratory dynamics evaluation.
Keyword (in Japanese) (See Japanese page) 
(in English) Magnetic Resonance (MR) Image / Chronic Obstructive Pulmonary Disease (COPD) / Diaphragm Movement / Respiration Dynamics / Asynchrony / Deep Learning / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 98, MI2021-20, pp. 47-51, July 2021.
Paper # MI2021-20 
Date of Issue 2021-07-01 (MI) 
ISSN Online edition: ISSN 2432-6380
Copyright
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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 2021-07-08 - 2021-07-09 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Medical imaging, physics, and recognition 
Paper Information
Registration To MI 
Conference Code 2021-07-MI 
Language English (Japanese title is available) 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Asynchrony analysis of diaphragmatic movement for evaluation of respiratory dynamics in COPD patients 
Sub Title (in English)  
Keyword(1) Magnetic Resonance (MR) Image  
Keyword(2) Chronic Obstructive Pulmonary Disease (COPD)  
Keyword(3) Diaphragm Movement  
Keyword(4) Respiration Dynamics  
Keyword(5) Asynchrony  
Keyword(6) Deep Learning  
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Keyword(8)  
1st Author's Name Xiao Tan  
1st Author's Affiliation Graduate School of Science and Engineering, Chiba University (Chiba Univ.)
2nd Author's Name Yuma Iwao  
2nd Author's Affiliation National Institutes for Quantum and Radiological Science and Technology (QST)
3rd Author's Name Chen Ye  
3rd Author's Affiliation Center for Frontier Medical Engineering, Chiba University (Chiba Univ.)
4th Author's Name Kotaro Takahashi  
4th Author's Affiliation Graduate School of Science and Engineering, Chiba University (Chiba Univ.)
5th Author's Name Yoshitada Masuda  
5th Author's Affiliation Chiba University Hospital (Chiba Univ. Hospital)
6th Author's Name Ayako Shimada  
6th Author's Affiliation Department of Respirology, Graduate School of Medicine, Chiba University (Chiba Univ.)
7th Author's Name Naoko Kawata  
7th Author's Affiliation Department of Respirology, Graduate School of Medicine, Chiba University (Chiba Univ.)
8th Author's Name Hideaki Haneishi  
8th Author's Affiliation Center for Frontier Medical Engineering, Chiba University (Chiba Univ.)
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Speaker Author-1 
Date Time 2021-07-09 14:30:00 
Presentation Time 30 minutes 
Registration for MI 
Paper # MI2021-20 
Volume (vol) vol.121 
Number (no) no.98 
Page pp.47-51 
#Pages
Date of Issue 2021-07-01 (MI) 


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