| Paper Abstract and Keywords |
| Presentation |
2017-01-18 10:41
[Short Paper]
Super Resolution of MR images via Optimization in Fourier Domain with Low Rank and Smoothness of Image Space Naoki Kawamura, Tatsuya Yokota, Hidekata Hontani (NITech) MI2016-74 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
We use MR images of the same object measured with different magnetic gradient directions in order to construct a MR image with high resolution and high S/N ratio. In proposed method, TV-regularization and low rank completion are introduced into the super-resolution method proposed by Gerchberg. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Fourier Transform / Super Resolution / Total Variation / Low Rank Tensor Completion / ADMM / / / |
| Reference Info. |
IEICE Tech. Rep., vol. 116, no. 393, MI2016-74, pp. 19-20, Jan. 2017. |
| Paper # |
MI2016-74 |
| Date of Issue |
2017-01-11 (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) |
| Download PDF |
MI2016-74 |
| Conference Information |
| Committee |
MI |
| Conference Date |
2017-01-18 - 2017-01-18 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Tenbusu Naha |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
Medical Image Engineering, Analysis, Recognition, etc. |
| Paper Information |
| Registration To |
MI |
| Conference Code |
2017-01-MI |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Super Resolution of MR images via Optimization in Fourier Domain with Low Rank and Smoothness of Image Space |
| Sub Title (in English) |
|
| Keyword(1) |
Fourier Transform |
| Keyword(2) |
Super Resolution |
| Keyword(3) |
Total Variation |
| Keyword(4) |
Low Rank Tensor Completion |
| Keyword(5) |
ADMM |
| Keyword(6) |
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| Keyword(7) |
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| Keyword(8) |
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| 1st Author's Name |
Naoki Kawamura |
| 1st Author's Affiliation |
Nagoya Institute of Technology (NITech) |
| 2nd Author's Name |
Tatsuya Yokota |
| 2nd Author's Affiliation |
Nagoya Institute of Technology (NITech) |
| 3rd Author's Name |
Hidekata Hontani |
| 3rd Author's Affiliation |
Nagoya Institute of Technology (NITech) |
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| Speaker |
Author-1 |
| Date Time |
2017-01-18 10:41:00 |
| Presentation Time |
12 minutes |
| Registration for |
MI |
| Paper # |
MI2016-74 |
| Volume (vol) |
vol.116 |
| Number (no) |
no.393 |
| Page |
pp.19-20 |
| #Pages |
2 |
| Date of Issue |
2017-01-11 (MI) |