Paper Abstract and Keywords |
Presentation |
2015-03-03 10:10
TOF-MRA image reconstruction by compressed sensing technique
-- comparison of three different regularization techniques -- Akira Yamamoto, Koji Fujimoto, Yasutaka Fushimi, Tomohisa Okada, Kei Sano, Toshiyuki Tanaka, Kaori Togashi (Kyoto Univ.) MI2014-93 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Three different regularization terms, L1-norm of signal intensity, L1-norm of wavelet coefficients, and total variation, in compressed-sensing-based image reconstruction from undersampled time-of-flight magnetic resonance angiography (TOF-MRA) data were evaluated. Undersampled data with sampling rates from 10 % to 53 % were created by applying 155 sampling masks to full-sampled data, and NESTA was used in image reconstruction. In qualitative visual evaluation, subtle but distinct difference was noted among them. In quantitative analysis, we defined vessel-brain-ratio as the measure. Reconstruction with L1-norm of signal intensity as the regularization term showed the largest vessel-brain-ratio and acquisition of 30 % of k-space data seemed sufficient for image reconstruction. Reconstruction with less than 15 % of full-sampled data resulted in visible image degradation. In conclusion, acceptable image quality can be achieved by data with sampling rate of 25-30 % for TOF-MRA image reconstruction and L1-norm of signal intensity should be a choice for the regularization term in compressed-sensing-based TOF-MRA image reconstruction. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
compressed sensing / MRA / L1 norm / wavelet / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 114, no. 482, MI2014-93, pp. 189-192, March 2015. |
Paper # |
MI2014-93 |
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) |
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MI2014-93 |
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) |
TOF-MRA image reconstruction by compressed sensing technique |
Sub Title (in English) |
comparison of three different regularization techniques |
Keyword(1) |
compressed sensing |
Keyword(2) |
MRA |
Keyword(3) |
L1 norm |
Keyword(4) |
wavelet |
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1st Author's Name |
Akira Yamamoto |
1st Author's Affiliation |
Kyoto University (Kyoto Univ.) |
2nd Author's Name |
Koji Fujimoto |
2nd Author's Affiliation |
Kyoto University (Kyoto Univ.) |
3rd Author's Name |
Yasutaka Fushimi |
3rd Author's Affiliation |
Kyoto University (Kyoto Univ.) |
4th Author's Name |
Tomohisa Okada |
4th Author's Affiliation |
Kyoto University (Kyoto Univ.) |
5th Author's Name |
Kei Sano |
5th Author's Affiliation |
Kyoto University (Kyoto Univ.) |
6th Author's Name |
Toshiyuki Tanaka |
6th Author's Affiliation |
Kyoto University (Kyoto Univ.) |
7th Author's Name |
Kaori Togashi |
7th Author's Affiliation |
Kyoto University (Kyoto Univ.) |
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Speaker |
Author-1 |
Date Time |
2015-03-03 10:10:00 |
Presentation Time |
12 minutes |
Registration for |
MI |
Paper # |
MI2014-93 |
Volume (vol) |
vol.114 |
Number (no) |
no.482 |
Page |
pp.189-192 |
#Pages |
4 |
Date of Issue |
2015-02-23 (MI) |
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