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Paper Abstract and Keywords
Presentation 2023-11-14 14:00
Estimating the degree of coronary artery stenosis from non-contrast CT images using a 3D convolution model -- Categorical approach --
Hiroki Shinoda, Tetsuya Asakawa (TUT), Kazuki Shimizu, Takuya Togawa, Kei Nomura (Toyohashi Heart Center), Masaki Aono (TUT) MICT2023-32 MI2023-25
Abstract (in Japanese) (See Japanese page) 
(in English) In current medical images diagnosis, specialists take pictures of patients and search for the disease from the images. In particular, coronary angiography is used to determine coronary artery stenosis. This method is burdensome to the patient because it uses a contrast agent. Therefore, we attempt to determine coronary artery stenosis from non-contrast CT images. Then, we propose a method to classify the stenosis using a 3D convolution model (I3D). As a result of comparing the proposed method and a method using a 2D convolutional model, the proposed method showed higher performance in four metrics.
Keyword (in Japanese) (See Japanese page) 
(in English) Medical image / Non-contrast CT / Coronary artery / Stenosis / QCA / I3D / /  
Reference Info. IEICE Tech. Rep., vol. 123, no. 257, MI2023-25, pp. 29-32, Nov. 2023.
Paper # MI2023-25 
Date of Issue 2023-11-07 (MICT, 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 MICT2023-32 MI2023-25

Conference Information
Committee MI MICT  
Conference Date 2023-11-14 - 2023-11-14 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To MI 
Conference Code 2023-11-MI-MICT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Estimating the degree of coronary artery stenosis from non-contrast CT images using a 3D convolution model 
Sub Title (in English) Categorical approach 
Keyword(1) Medical image  
Keyword(2) Non-contrast CT  
Keyword(3) Coronary artery  
Keyword(4) Stenosis  
Keyword(5) QCA  
Keyword(6) I3D  
Keyword(7)  
Keyword(8)  
1st Author's Name Hiroki Shinoda  
1st Author's Affiliation Toyohashi University of Technology (TUT)
2nd Author's Name Tetsuya Asakawa  
2nd Author's Affiliation Toyohashi University of Technology (TUT)
3rd Author's Name Kazuki Shimizu  
3rd Author's Affiliation Toyohashi Heart Center (Toyohashi Heart Center)
4th Author's Name Takuya Togawa  
4th Author's Affiliation Toyohashi Heart Center (Toyohashi Heart Center)
5th Author's Name Kei Nomura  
5th Author's Affiliation Toyohashi Heart Center (Toyohashi Heart Center)
6th Author's Name Masaki Aono  
6th Author's Affiliation Toyohashi University of Technology (TUT)
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Speaker Author-1 
Date Time 2023-11-14 14:00:00 
Presentation Time 20 minutes 
Registration for MI 
Paper # MICT2023-32, MI2023-25 
Volume (vol) vol.123 
Number (no) no.256(MICT), no.257(MI) 
Page pp.29-32 
#Pages 4 
Date of Issue 2023-11-07 (MICT, MI) 

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