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Paper Abstract and Keywords
Presentation 2023-03-06 14:20
A study on estimation of blood vessel regions from laparoscopic videos using preoperative image information
Keigo Enomoto, Yuichiro Hayashi (Nagoya Univ.), Takayuki Kitasaka (Aichi Institute of Tech.), Masahiro Oda (Nagoya Univ.), Kazunari Misawa (Aichi Cancer Center Hospital), Kensaku Mori (Nagoya Univ./NII) MI2022-85
Abstract (in Japanese) (See Japanese page) 
(in English) This paper describes an automatic estimation method of blood vessel regions from laparoscopic videos using preoperative image information. It is important to constantly grasp regions of blood vessels during laparoscopic surgery to avoid complications such as bleeding. Therefore, developing a system for automatically recognizing the blood vessel regions in laparoscopic surgery is necessary. In this study, we propose a method for estimation of blood vessel regions in scenes where the blood vessels are hidden below fat or other tissues. As a result, the preoperative image information improved the estimation accuracy.
Keyword (in Japanese) (See Japanese page) 
(in English) Laparoscopic surgery / Blood vessel regions estimation / Preoperative CT / Registration / / / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 417, MI2022-85, pp. 63-68, March 2023.
Paper # MI2022-85 
Date of Issue 2023-02-27 (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 MI2022-85

Conference Information
Committee MI  
Conference Date 2023-03-06 - 2023-03-07 
Place (in Japanese) (See Japanese page) 
Place (in English) OKINAWA SEINENKAIKAN 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To MI 
Conference Code 2023-03-MI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A study on estimation of blood vessel regions from laparoscopic videos using preoperative image information 
Sub Title (in English)  
Keyword(1) Laparoscopic surgery  
Keyword(2) Blood vessel regions estimation  
Keyword(3) Preoperative CT  
Keyword(4) Registration  
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1st Author's Name Keigo Enomoto  
1st Author's Affiliation Nagoya University (Nagoya Univ.)
2nd Author's Name Yuichiro Hayashi  
2nd Author's Affiliation Nagoya University (Nagoya Univ.)
3rd Author's Name Takayuki Kitasaka  
3rd Author's Affiliation Aichi Institute of Technology (Aichi Institute of Tech.)
4th Author's Name Masahiro Oda  
4th Author's Affiliation Nagoya University (Nagoya Univ.)
5th Author's Name Kazunari Misawa  
5th Author's Affiliation Aichi Cancer Center Hospital (Aichi Cancer Center Hospital)
6th Author's Name Kensaku Mori  
6th Author's Affiliation Nagoya University/National Institute of Informatics (Nagoya Univ./NII)
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Speaker Author-1 
Date Time 2023-03-06 14:20:00 
Presentation Time 13 minutes 
Registration for MI 
Paper # MI2022-85 
Volume (vol) vol.122 
Number (no) no.417 
Page pp.63-68 
#Pages 6 
Date of Issue 2023-02-27 (MI) 

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