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| Presentation | 2019-01-23 16:05 3D Shape Reconstruction of Distal Forearm Bones from Radiography using Convolutional Neural Network Mototaka Kabashima, Yuta Hiasa, Yoshito Otake (NAIST), Ryoya Shiode, Tsuyoshi Murase (Osaka Univ.), Yoshinobu Sato (NAIST)  MI2018-114 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | The 3D bone model extracted from the CT image is used for diagnosis or follow-up. However, the necessity of the CT acquisition under multiple postures for a long period raises problems of increased radiation exposure and medical costs. In this study, we address this problem by reconstructing CT image from only radiography. We use a network architecture based on the T–L net combining autoencoder and regression network. In our previous study, we have obtained the 3D shape of radius and ulna from digitally reconstructed radiography. In this paper, we discuss the result of the reconstruction from real radiography by adding an image synthesis network. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Forearm radiography / Convolutional Neural Network / 2D-3D reconstruction / Forearm / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 118, no. 412, MI2018-114, pp. 235-238, Jan. 2019. | |
| Paper # | MI2018-114 | |
| Date of Issue | 2019-01-15 (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 | MI2018-114 |
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| Conference Information | |
| Committee | MI |
| Conference Date | 2019-01-22 - 2019-01-23 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Medical Image Engineering, Analysis, Recognition, etc. |
| Paper Information | |
| Registration To | MI |
| Conference Code | 2019-01-MI |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | 3D Shape Reconstruction of Distal Forearm Bones from Radiography using Convolutional Neural Network |
| Sub Title (in English) | |
| Keyword(1) | Forearm radiography |
| Keyword(2) | Convolutional Neural Network |
| Keyword(3) | 2D-3D reconstruction |
| Keyword(4) | Forearm |
| Keyword(5) | |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Mototaka Kabashima |
| 1st Author's Affiliation | Nara Institute of Science and Technology (NAIST) |
| 2nd Author's Name | Yuta Hiasa |
| 2nd Author's Affiliation | Nara Institute of Science and Technology (NAIST) |
| 3rd Author's Name | Yoshito Otake |
| 3rd Author's Affiliation | Nara Institute of Science and Technology (NAIST) |
| 4th Author's Name | Ryoya Shiode |
| 4th Author's Affiliation | Osaka University (Osaka Univ.) |
| 5th Author's Name | Tsuyoshi Murase |
| 5th Author's Affiliation | Osaka University (Osaka Univ.) |
| 6th Author's Name | Yoshinobu Sato |
| 6th Author's Affiliation | Nara Institute of Science and Technology (NAIST) |
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| Speaker | Author-1 |
| Date Time | 2019-01-23 16:05:00 |
| Presentation Time | 15 minutes |
| Registration for | MI |
| Paper # | MI2018-114 |
| Volume (vol) | vol.118 |
| Number (no) | no.412 |
| Page | pp.235-238 |
| #Pages | 4 |
| Date of Issue | 2019-01-15 (MI) |
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