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| Presentation | 2012-01-19 11:20 MPG Reduction for Effective Diffusion MR Imaging Based on L1-norm Regularization Kazunari Iwamoto, Hidekata Hontani (NIT), Yoshitaka Masutani (Tokyo Univ.)  MI2011-83 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | The high angular resolution diffusion imaging (HARDI) captures high angular-resolution 3D images of diffusion MR imaging by changing the direction of the motion probing gradient (MPG), along which the strength of water diffusion is mesured. The problem here is that the capturing process is time consuming when many MPGs are applied for making the angular resolution higher. In this article, we propose a method for decreasing the number of MPG directions with keeping the angular resolution higher. Limiting the target to pyramidal tracts, we obtain an optimal set of MPG directions that can realize high angular resolution with small number of the directions. For this purpose, we employ a spherical radial basis functions (SRBF) for interpolating the measurements and obtains the set of MPG directions by minimizing the residuals between the training measurements and the interpolated ones with sparseness regularization. The performance of the proposed method is demonstrated by simulation experiments and by clinical image ones. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | diffusion MRI / High Angular Resolution Diffusion Imaging / HARDI / combination optimization / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 111, no. 389, MI2011-83, pp. 35-40, Jan. 2012. | |
| Paper # | MI2011-83 | |
| Date of Issue | 2012-01-12 (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) | |
| Download PDF | MI2011-83 |
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| Conference Information | |
| Committee | MI |
| Conference Date | 2012-01-19 - 2012-01-20 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | MI |
| Conference Code | 2012-01-MI |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | MPG Reduction for Effective Diffusion MR Imaging Based on L1-norm Regularization |
| Sub Title (in English) | |
| Keyword(1) | diffusion MRI |
| Keyword(2) | High Angular Resolution Diffusion Imaging |
| Keyword(3) | HARDI |
| Keyword(4) | combination optimization |
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| 1st Author's Name | Kazunari Iwamoto |
| 1st Author's Affiliation | Nagoya Institute of Technology (NIT) |
| 2nd Author's Name | Hidekata Hontani |
| 2nd Author's Affiliation | Nagoya Institute of Technology (NIT) |
| 3rd Author's Name | Yoshitaka Masutani |
| 3rd Author's Affiliation | The University of Tokyo (Tokyo Univ.) |
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| Speaker | Author-1 |
| Date Time | 2012-01-19 11:20:00 |
| Presentation Time | 30 minutes |
| Registration for | MI |
| Paper # | MI2011-83 |
| Volume (vol) | vol.111 |
| Number (no) | no.389 |
| Page | pp.35-40 |
| #Pages | 6 |
| Date of Issue | 2012-01-12 (MI) |
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