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| Presentation | 2015-03-02 09:17 4D-MRI Reconstruction using the low-rank plus sparse matrix decomposition Yukinojo Kitakami, Takashi Ohnishi, Yoshitada Masuda (Chiba Univ. Engineering), Koji Matsumoto (Chiba University Hospital), Hideaki Haneishi (Chiba Univ. Engineering)  MI2014-54 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | 4D-MRI can visualize and quantify the three-dimensional dynamics of the thoracoabdominal respiratory movement and allows us various applications. However, one of the problems is long data collection time, approximately 30 minutes. In this study, we assume to reduce the number of the encoding in the k- space to shorten the data collection time. In order to maintain the image quality, we use an image reconstruction method based on low-rank plus sparse matrix decomposition (L+S). We performed a simulation experiment where the encoded data was reduced to one-third of full sampling. We then compared the ideal image reconstructed with full sampling data, the image reconstructed by the conventional method for the k-space data filling the missing space with zero, and the image reconstructed by the L+S reconstruction method. From the images, we confirmed that L+S reconstruction can reduce the noise and provide image quality similar to the ideal image. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | 4D-MRI / compressive sensing / image reconstruction / sparseness / low-rank structure / L+S matrix decomposition / / | |
| Reference Info. | IEICE Tech. Rep., vol. 114, no. 482, MI2014-54, pp. 7-11, March 2015. | |
| Paper # | MI2014-54 | |
| Date of Issue | 2015-02-23 (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 | MI2014-54 |
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| Conference Information | |
| Committee | MI |
| Conference Date | 2015-03-02 - 2015-03-03 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Hotel Miyahira |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Creation of multidisciplinary computational anatomy, Forefront of medical image engineering, General topics in medical imaging |
| Paper Information | |
| Registration To | MI |
| Conference Code | 2015-03-MI |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | 4D-MRI Reconstruction using the low-rank plus sparse matrix decomposition |
| Sub Title (in English) | |
| Keyword(1) | 4D-MRI |
| Keyword(2) | compressive sensing |
| Keyword(3) | image reconstruction |
| Keyword(4) | sparseness |
| Keyword(5) | low-rank structure |
| Keyword(6) | L+S matrix decomposition |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Yukinojo Kitakami |
| 1st Author's Affiliation | Chiba University (Chiba Univ. Engineering) |
| 2nd Author's Name | Takashi Ohnishi |
| 2nd Author's Affiliation | Chiba University (Chiba Univ. Engineering) |
| 3rd Author's Name | Yoshitada Masuda |
| 3rd Author's Affiliation | Chiba University (Chiba Univ. Engineering) |
| 4th Author's Name | Koji Matsumoto |
| 4th Author's Affiliation | Chiba University Hospital (Chiba University Hospital) |
| 5th Author's Name | Hideaki Haneishi |
| 5th Author's Affiliation | Chiba University (Chiba Univ. Engineering) |
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| Speaker | Author-1 |
| Date Time | 2015-03-02 09:17:00 |
| Presentation Time | 12 minutes |
| Registration for | MI |
| Paper # | MI2014-54 |
| Volume (vol) | vol.114 |
| Number (no) | no.482 |
| Page | pp.7-11 |
| #Pages | 5 |
| Date of Issue | 2015-02-23 (MI) |
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