Paper Abstract and Keywords |
Presentation |
2018-03-19 13:40
[Poster Presentation]
Improvement of surgical field retrieval for intelligent laparotomy video archive
-- Validation of registration accuracy by FFD -- Takayuki Kitasaka, Toi Okuda, Jun Sato, Masahito Toyoda, Hiroaki Sawano, Yasuhito Suenaga (Aichi Inst. of Tech.), Kazunari Misawa (ACC), Kensaku Mori (Nagoya Univ.) MI2017-72 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
For learning the laparotomy, videos which are captured real laparotomy are used as a text. There is a problem in such video texts that the head or hands of a surgeon often screen the surgical field. We study a method to clarify the surgical field screened by such obstructions by deleting obstructions from several camera streams. This report proposes an improvement of registration accuracy of camera streams by FFD. As a result of the experiment using a human torso model and three cameras, average registration error was approx. 64.5 pixels. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Laparotomy / archive / obstruction elimination / FFD / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 117, no. 518, MI2017-72, pp. 31-32, March 2018. |
Paper # |
MI2017-72 |
Date of Issue |
2018-03-12 (MI) |
ISSN |
Print edition: ISSN 0913-5685 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) |
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MI2017-72 |
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