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Paper Abstract and Keywords
Presentation 2021-11-05 10:45
[Short Paper] A Method for Extracting and Visualizing Calcified Areas from Coronary OCT Images.
Ryo Oikawa, Toru Kato, Akio Doi (Iwate Prefectural Univ.), Masaru Ishida (Iwate Medical Univ.) MICT2021-32 MI2021-30
Abstract (in Japanese) (See Japanese page) 
(in English) Optical coherence tomography (OCT) has been widely used to diagnose calcified areas in coronary arteries in the last decade. It can automatically extract coronary stents, evaluate the lumen, and output 3D images. However, automatic extraction of calcified areas has not been studied until recently, and there is room for improvement in the visualization method of the extracted regions. In percutaneous coronary intervention (PCI), if the calcified area is more than 180 degrees contiguous and the thickness is more than 0.5 mm, diastolic dysfunction is considered a problem. In this paper, calcified areas were automatically extracted from coronary artery OCT images, and their continuity was represented as ring shape and thickness information as color information.
Keyword (in Japanese) (See Japanese page) 
(in English) OCT Image / Visualization / Semantic Segmentation / Deep Learning / / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 231, MI2021-30, pp. 22-25, Nov. 2021.
Paper # MI2021-30 
Date of Issue 2021-10-29 (MICT, MI) 
ISSN Print edition: ISSN 0913-5685  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)
Download PDF MICT2021-32 MI2021-30

Conference Information
Committee MI MICT  
Conference Date 2021-11-05 - 2021-11-05 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Medical imaging technology, healthcare and medical information communication technology 
Paper Information
Registration To MI 
Conference Code 2021-11-MI-MICT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Method for Extracting and Visualizing Calcified Areas from Coronary OCT Images. 
Sub Title (in English)  
Keyword(1) OCT Image  
Keyword(2) Visualization  
Keyword(3) Semantic Segmentation  
Keyword(4) Deep Learning  
1st Author's Name Ryo Oikawa  
1st Author's Affiliation Iwate Prefectural University (Iwate Prefectural Univ.)
2nd Author's Name Toru Kato  
2nd Author's Affiliation Iwate Prefectural University (Iwate Prefectural Univ.)
3rd Author's Name Akio Doi  
3rd Author's Affiliation Iwate Prefectural University (Iwate Prefectural Univ.)
4th Author's Name Masaru Ishida  
4th Author's Affiliation Iwate Medical University (Iwate Medical Univ.)
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Speaker Author-1 
Date Time 2021-11-05 10:45:00 
Presentation Time 20 minutes 
Registration for MI 
Paper # MICT2021-32, MI2021-30 
Volume (vol) vol.121 
Number (no) no.230(MICT), no.231(MI) 
Page pp.22-25 
Date of Issue 2021-10-29 (MICT, MI) 

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