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Paper Abstract and Keywords
Presentation 2024-03-03 09:24
Cardiac Detection in Non-Contrast CT and Application to Calcium Scoring
Tetsuya Asakawa, Hiroki Shinoda (TUT), Takuya Togawa, Kazuki Shimizu (THC), Masaki Aono (TUT) PRMU2023-59
Abstract (in Japanese) (See Japanese page) 
(in English) Coronary artery disease, one of the major causes of death in Japan, is said to be related to coronary artery calcifica- tion. However, health care workers are essential to examine only the heart when investigating coronary artery disease. Also, it is very difficult to extract only calcification of the heart from Non- Contrast CT. To our knowledge, 3D cardiac extraction in non- enhanced CT cardiac images has not been performed in previous studies. In addition, the estimation of calcification score from heart extraction has not been done in previous studies. Therefore, we performed calcium score classification from cardiac CT using 3D-ResNet, which is a 3D extension of ResNet, which is highly accurate in image classification. Therefore, in this study, we propose a cardiac detection method using deep learning to improve the accuracy of calcium scoring. We conducted experiments using a dataset for cardiac detection from chest CT images and a dataset for calcium scoring from chest CT scans. The results show that the proposed method improves the accuracy of calcium scoring compared to the method without cardiac extraction. As a result, we proposed a state-of-the-art highly accurate heart detection method that has never existed before.
Keyword (in Japanese) (See Japanese page) 
(in English) Deep learning / CNN / Object detection / Non-Contrast CT / Calcium Scoring / / /  
Reference Info. IEICE Tech. Rep., vol. 123, no. 409, PRMU2023-59, pp. 47-52, March 2024.
Paper # PRMU2023-59 
Date of Issue 2024-02-25 (PRMU) 
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)
Download PDF PRMU2023-59

Conference Information
Committee PRMU IBISML IPSJ-CVIM  
Conference Date 2024-03-03 - 2024-03-04 
Place (in Japanese) (See Japanese page) 
Place (in English) Hiroshima Univ. Higashi-Hiroshima campus 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To PRMU 
Conference Code 2024-03-PRMU-IBISML-CVIM 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Cardiac Detection in Non-Contrast CT and Application to Calcium Scoring 
Sub Title (in English)  
Keyword(1) Deep learning  
Keyword(2) CNN  
Keyword(3) Object detection  
Keyword(4) Non-Contrast CT  
Keyword(5) Calcium Scoring  
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Keyword(7)  
Keyword(8)  
1st Author's Name Tetsuya Asakawa  
1st Author's Affiliation Toyohashi University of Technology (TUT)
2nd Author's Name Hiroki Shinoda  
2nd Author's Affiliation Toyohashi University of Technology (TUT)
3rd Author's Name Takuya Togawa  
3rd Author's Affiliation Toyohashi Heart Center (THC)
4th Author's Name Kazuki Shimizu  
4th Author's Affiliation Toyohashi Heart Center (THC)
5th Author's Name Masaki Aono  
5th Author's Affiliation Toyohashi University of Technology (TUT)
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Speaker Author-1 
Date Time 2024-03-03 09:24:00 
Presentation Time 12 minutes 
Registration for PRMU 
Paper # PRMU2023-59 
Volume (vol) vol.123 
Number (no) no.409 
Page pp.47-52 
#Pages
Date of Issue 2024-02-25 (PRMU) 


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