Paper Abstract and Keywords |
Presentation |
2019-11-05 09:20
[Short Paper]
Evaluating image quality of nonlocal total variation and nonlocal means filter based Compressed Sensing in sparse-view CT Yongchae Kim, Katsuya Fujii, Hiroyuki Kudo (Tsukuba Univ.) MICT2019-23 MI2019-50 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
TV(Total Variation) is studied most widely in the field of X-ray CT image reconstruction. However, TV considers only adjacent pixels, the staircase artifacts appear in the reconstructed image. To avoid the staircase artifact problem, in 2016, Dong and Kudo proposed compressed sensing (NLF-CS) using a nonlocal means filter, which is one of the nonlinear filters, and showed that it had a significant image quality improvement. On the other hand, as an extended version of TV, nonlocal TV also exists to consider the difference of the pixel pair in the window. NLF-CS and nonlocal TV tend to generate similar reconstructed images but the two are mathematically different. They are often confused because there has been no research comparing image quality. In this paper, we discuss the image quality of NLF-CS and nonlocal TV in sparse-view CT. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Image reconstruction / Compressed sensing / Nonlocal Total Variation / Weighted median / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 119, no. 264, MI2019-50, pp. 1-4, Nov. 2019. |
Paper # |
MI2019-50 |
Date of Issue |
2019-10-29 (MICT, MI) |
ISSN |
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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MICT2019-23 MI2019-50 |
Conference Information |
Committee |
MI MICT |
Conference Date |
2019-11-05 - 2019-11-05 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Univ. of Tsukuba |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Medical imaging technology, healthcare and medical information communication technology |
Paper Information |
Registration To |
MI |
Conference Code |
2019-11-MI-MICT |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Evaluating image quality of nonlocal total variation and nonlocal means filter based Compressed Sensing in sparse-view CT |
Sub Title (in English) |
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Keyword(1) |
Image reconstruction |
Keyword(2) |
Compressed sensing |
Keyword(3) |
Nonlocal Total Variation |
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Weighted median |
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1st Author's Name |
Yongchae Kim |
1st Author's Affiliation |
University of Tsukuba (Tsukuba Univ.) |
2nd Author's Name |
Katsuya Fujii |
2nd Author's Affiliation |
University of Tsukuba (Tsukuba Univ.) |
3rd Author's Name |
Hiroyuki Kudo |
3rd Author's Affiliation |
University of Tsukuba (Tsukuba Univ.) |
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Speaker |
Author-1 |
Date Time |
2019-11-05 09:20:00 |
Presentation Time |
20 minutes |
Registration for |
MI |
Paper # |
MICT2019-23, MI2019-50 |
Volume (vol) |
vol.119 |
Number (no) |
no.263(MICT), no.264(MI) |
Page |
pp.1-4 |
#Pages |
4 |
Date of Issue |
2019-10-29 (MICT, MI) |
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