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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
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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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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
Date of Issue 2015-02-23 (MI) 


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