Paper Abstract and Keywords |
Presentation |
2022-07-22 16:50
Deep Learning based Compressed Sensing Image Reconstruction Using Multiple Signal Under-sampling Pattern Masaki Shibui, Kazuki Yamato, Satoshi Ito (Utsunomiya Univ.) |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
CS-MRI, which is an application of compressed sensing (CS) to MR image acquisition, can reconstruct MR images from a small number of acquired signals. Recently, it has been reported that deep learning (DL)-based CS reconstruction is fast and produces high-quality images. On the other hand, it is time-consuming to learn and requires additional learning on the case when the signal under-sampling pattern is changed. In this study, we propose a improve method in which high quality images can be obtained regardless of the signal under-sampling patterns in Generic-ADMM-Net. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Compressed Sensing / Generic-ADMM-Net / Deep learning / / / / / |
Reference Info. |
ITE Tech. Rep., vol. 46, no. 20, ME2022-71, pp. 27-29, July 2022. |
Paper # |
ME2022-71 |
Date of Issue |
2022-07-15 (ME) |
ISSN |
Print edition: ISSN 1342-6893 Online edition: ISSN 2424-1970 |
Download PDF |
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Conference Information |
Committee |
ME |
Conference Date |
2022-07-22 - 2022-07-22 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Online |
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(See Japanese page) |
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Paper Information |
Registration To |
ME |
Conference Code |
2022-07-ME |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Deep Learning based Compressed Sensing Image Reconstruction Using Multiple Signal Under-sampling Pattern |
Sub Title (in English) |
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Keyword(1) |
Compressed Sensing |
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Generic-ADMM-Net |
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Deep learning |
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1st Author's Name |
Masaki Shibui |
1st Author's Affiliation |
Utsunomiya University (Utsunomiya Univ.) |
2nd Author's Name |
Kazuki Yamato |
2nd Author's Affiliation |
Utsunomiya University (Utsunomiya Univ.) |
3rd Author's Name |
Satoshi Ito |
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Utsunomiya University (Utsunomiya Univ.) |
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Speaker |
Author-1 |
Date Time |
2022-07-22 16:50:00 |
Presentation Time |
30 minutes |
Registration for |
ME |
Paper # |
ME2022-71 |
Volume (vol) |
vol.46 |
Number (no) |
no.20 |
Page |
pp.27-29 |
#Pages |
3 |
Date of Issue |
2022-07-15 (ME) |