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| Presentation | 2021-03-16 14:00 Deformable mesh registration of partial lung shapes based on learning of pneumothorax deformation Hinako Maekawa, Megumi Nakao (Kyoto Univ.), Katsutaka Mineura (Kyoto Univ. Hospital), Toyofumi F. Chen-Yoshikawa (Nagoya Univ. Hospital), Tetsuya Matsuda (Kyoto Univ.)  MI2020-74 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Intraoperative pneumothorax is accompanied by large deformation including rotation. As intraoperative cone-beam CT (CBCT) images have a limited imaging area, so it is difficult to obtain an accurate correspondence between inflated and deflated lungs. In this study, we propose a deformable mesh registration method based on learning the statistical characteristics of pneumothorax deformation, targeting the partial shape of the lung included in paired CBCT images in the inflated and deflated states. We have evaluated registration accuracy for 10 CBCT images of inflated/deflated lungs, and confirmed that the proposed method achieves stable registration with smaller errors compared to existing methods. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Deformable mesh registration / Kernel method / Statistical modeling / Pneumothorax deformation / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 120, no. 431, MI2020-74, pp. 112-117, March 2021. | |
| Paper # | MI2020-74 | |
| Date of Issue | 2021-03-08 (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 | MI2020-74 |
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| Conference Information | |
| Committee | MI |
| Conference Date | 2021-03-15 - 2021-03-17 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Medical Imaging |
| Paper Information | |
| Registration To | MI |
| Conference Code | 2021-03-MI |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Deformable mesh registration of partial lung shapes based on learning of pneumothorax deformation |
| Sub Title (in English) | |
| Keyword(1) | Deformable mesh registration |
| Keyword(2) | Kernel method |
| Keyword(3) | Statistical modeling |
| Keyword(4) | Pneumothorax deformation |
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| Keyword(6) | |
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| Keyword(8) | |
| 1st Author's Name | Hinako Maekawa |
| 1st Author's Affiliation | Kyoto University (Kyoto Univ.) |
| 2nd Author's Name | Megumi Nakao |
| 2nd Author's Affiliation | Kyoto University (Kyoto Univ.) |
| 3rd Author's Name | Katsutaka Mineura |
| 3rd Author's Affiliation | Kyoto University Hospital (Kyoto Univ. Hospital) |
| 4th Author's Name | Toyofumi F. Chen-Yoshikawa |
| 4th Author's Affiliation | Nagoya University Hospital (Nagoya Univ. Hospital) |
| 5th Author's Name | Tetsuya Matsuda |
| 5th Author's Affiliation | Kyoto University (Kyoto Univ.) |
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| Speaker | Author-1 |
| Date Time | 2021-03-16 14:00:00 |
| Presentation Time | 15 minutes |
| Registration for | MI |
| Paper # | MI2020-74 |
| Volume (vol) | vol.120 |
| Number (no) | no.431 |
| Page | pp.112-117 |
| #Pages | 6 |
| Date of Issue | 2021-03-08 (MI) |
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