Signal Enhancement of Low Magnetic Field Magnetic Resonance Image Using a Conventional- and Cyclic-Generative Adversarial Network Models With Unpaired Image Sets

Signal Enhancement of Low Magnetic Field Magnetic Resonance Image Using a Conventional- and Cyclic-Generative Adversarial Network Models With Unpaired Image Sets

In this study, the signal enhancement ratio of low-field magnetic resonance (MR) images was investigated using a deep learning-based algorithm. Unpaired image sets (0.06 Tesla and 1.5 Tesla MR images for different patients) were used in this study following three steps workflow. In the first step, t...

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Bibliographic Details
Main Authors:	Denis Yoo, Yuni Annette Choi, C. J. Rah, Eric Lee, Jing Cai, Byung Jun Min, Eun Ho Kim
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2021-05-01
Series:	Frontiers in Oncology
Subjects:	conventional-GAN cyclic-GAN enhancement of MR image low magnetic field Magnetic Resonance Image (MRI)
Online Access:	https://www.frontiersin.org/articles/10.3389/fonc.2021.660284/full

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