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Paper Abstract and Keywords
Presentation 2022-01-28 11:00
Blood Vessel Structure Analysis using a Simulation Model for the Purpose of Polyp Shape Recovery from Endoscopic Images
Shusuke Kato, Hiroyasu Usami, Akihiko Okazaki, Yuji Iwahori (Chubu Univ.), Ogasawara Naotaka, Kunio Kasugai (Aichi Medical Univ.) EST2021-83
Abstract (in Japanese) (See Japanese page) 
(in English) In recent years, the incidence of colorectal cancer in Japan has been on the rise. It is essential to realize a medical diagnosis support system that utilizes AI and image processing technology. In particular, in endoscopic diagnosis, the size and shape of polyps are essential guidelines for diagnosis. In order to estimate the absolute size of polyps, the Shape from Shading (SFS) method is used to restore the shape of polyps since the target object is a non-rigid body. In order to estimate the absolute size of a polyp, a shape restoration method using optical constraint equations based on Shape from Shading (SFS) has been developed since the target object is a non-rigid body. In this study, we used a reference object as a reference object to obtain the depth information from the camera to the object and the reflection coefficient C of the object. In this study, we propose a geometrical model that realizes the calculation of these parameters by using a geometrical model composed of a camera and a blood vessel with the blood vessel as the reference object. The geometric model is evaluated by creating a three-dimensional blood vessel simulation model and calculating the depth information Z from the camera to the blood vessel in the camera coordinate system, which is necessary for shape recovery to confirm the validity of the model. Based on the proposed geometric model, we extract the blood vessel region using U-net, estimate the parameters for SFS use by using the boundary surface between the extracted blood vessel and the intestinal inner wall and realize the size and shape recovery of polyps from a single endoscopic image.
Keyword (in Japanese) (See Japanese page) 
(in English) Medical Image Processing / 3D Shape Recovery / Simulation Model / SFS(Shape From Shading) / U-Net / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 358, EST2021-83, pp. 130-135, Jan. 2022.
Paper # EST2021-83 
Date of Issue 2022-01-20 (EST) 
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 EST2021-83

Conference Information
Committee EST  
Conference Date 2022-01-27 - 2022-01-28 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Simulation techniques, etc. 
Paper Information
Registration To EST 
Conference Code 2022-01-EST 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Blood Vessel Structure Analysis using a Simulation Model for the Purpose of Polyp Shape Recovery from Endoscopic Images 
Sub Title (in English)  
Keyword(1) Medical Image Processing  
Keyword(2) 3D Shape Recovery  
Keyword(3) Simulation Model  
Keyword(4) SFS(Shape From Shading)  
Keyword(5) U-Net  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Shusuke Kato  
1st Author's Affiliation Chubu University (Chubu Univ.)
2nd Author's Name Hiroyasu Usami  
2nd Author's Affiliation Chubu University (Chubu Univ.)
3rd Author's Name Akihiko Okazaki  
3rd Author's Affiliation Chubu University (Chubu Univ.)
4th Author's Name Yuji Iwahori  
4th Author's Affiliation Chubu University (Chubu Univ.)
5th Author's Name Ogasawara Naotaka  
5th Author's Affiliation Aichi Medical University (Aichi Medical Univ.)
6th Author's Name Kunio Kasugai  
6th Author's Affiliation Aichi Medical University (Aichi Medical Univ.)
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Speaker Author-1 
Date Time 2022-01-28 11:00:00 
Presentation Time 20 minutes 
Registration for EST 
Paper # EST2021-83 
Volume (vol) vol.121 
Number (no) no.358 
Page pp.130-135 
#Pages 6 
Date of Issue 2022-01-20 (EST) 

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