Paper Abstract and Keywords |
Presentation |
2015-03-03 10:58
Total variation regularization of diffusion weighted images for reducing noise of diffusional kurtosis MRI Yuuki Nakamura, Hirokuni Okada, Masahito Aoyama, Yoshitaka Masutani (Hiroshima City Univ.) MI2014-96 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Diffusional kurtosis imaging (DKI) is an MR imaging method for quantifying non-Gaussianity of water molecule based on a set of diffusion weighted images (DWI) of several magnitude of motion probing gradient. It is observed that noise in DWI causes pepper-like noise on subsequent kurtosis images by computation error. We aimed at reduction of the computation error by using total variation (TV) regularization of the set of DW. By using a synthetic data set and a clinical brain data set of a healthy volunteer, we confirmed the effect of TV regularization. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Diffusion MRI / DKI / total variation / denoising / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 114, no. 482, MI2014-96, pp. 205-208, March 2015. |
Paper # |
MI2014-96 |
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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MI2014-96 |
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) |
Total variation regularization of diffusion weighted images for reducing noise of diffusional kurtosis MRI |
Sub Title (in English) |
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Keyword(1) |
Diffusion MRI |
Keyword(2) |
DKI |
Keyword(3) |
total variation |
Keyword(4) |
denoising |
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1st Author's Name |
Yuuki Nakamura |
1st Author's Affiliation |
Hiroshima City University (Hiroshima City Univ.) |
2nd Author's Name |
Hirokuni Okada |
2nd Author's Affiliation |
Hiroshima City University (Hiroshima City Univ.) |
3rd Author's Name |
Masahito Aoyama |
3rd Author's Affiliation |
Hiroshima City University (Hiroshima City Univ.) |
4th Author's Name |
Yoshitaka Masutani |
4th Author's Affiliation |
Hiroshima City University (Hiroshima City Univ.) |
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Speaker |
Author-1 |
Date Time |
2015-03-03 10:58:00 |
Presentation Time |
12 minutes |
Registration for |
MI |
Paper # |
MI2014-96 |
Volume (vol) |
vol.114 |
Number (no) |
no.482 |
Page |
pp.205-208 |
#Pages |
4 |
Date of Issue |
2015-02-23 (MI) |
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