Paper Abstract and Keywords |
Presentation |
2022-02-22 13:15
Compressive Sensing MR Reconstruction Using Generative Adversarial Network and Fresnel Transform of Images Shinya Abe, Kazuki Yamato, Satoshi Ito (Utsunomiya Univ.) |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In recent years, there has been several researches on reconstruction methods using deep learning, which can significantly reduce the reconstruction time and improve the quality of reconstructed images. In this study, we investigated a reconstruction method using a generative adversarial network (GAN), where the input signal is a Fresnel Transformed signal. Since Fresnel Transformed signal is a kind of diffracted image, therefore it has the dual characteristics of a signal and an image. Simulation studies showed that the reconstruction performance was improved in proposed method compared with preceding method. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Deep Learning / GAN / Fresnel Transform / / / / / |
Reference Info. |
ITE Tech. Rep., vol. 46, no. 6, ME2022-62, pp. 393-396, Feb. 2022. |
Paper # |
ME2022-62 |
Date of Issue |
2022-02-14 (MMS, ME, AIT) |
ISSN |
Print edition: ISSN 1342-6893 Online edition: ISSN 2424-1970 |
Download PDF |
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Conference Information |
Committee |
AIT ME MMS IEICE-IE IEICE-ITS |
Conference Date |
2022-02-21 - 2022-02-22 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
online |
Topics (in Japanese) |
(See Japanese page) |
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Paper Information |
Registration To |
ME |
Conference Code |
2022-02-AIT-ME-MMS-IE-ITS |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Compressive Sensing MR Reconstruction Using Generative Adversarial Network and Fresnel Transform of Images |
Sub Title (in English) |
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Deep Learning |
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GAN |
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Fresnel Transform |
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1st Author's Name |
Shinya Abe |
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 |
2022-02-22 13:15:00 |
Presentation Time |
15 minutes |
Registration for |
ME |
Paper # |
MMS2022-37, ME2022-62, AIT2022-37 |
Volume (vol) |
vol.46 |
Number (no) |
no.6 |
Page |
pp.393-396 |
#Pages |
4 |
Date of Issue |
2022-02-14 (MMS, ME, AIT) |