CNN-DMRI: A Convolutional Neural Network for Denoising of Magnetic Resonance Images
Abstract
Magnetic Resonance Images (MRI) are often contaminated by rician noise at the acquisition time. This type of noise typically deteriorates the performance of disease diagnosis by a human observer or an automated system. Thus, it is necessary to remove the rician noise from MRI scans as a preprocessing step. In this letter, we propose a novel Convolutional Neural Network (CNN), viz. CNN-DMRI, for denoising of MRI scans. The network uses a set of...
Paper Details
Title
CNN-DMRI: A Convolutional Neural Network for Denoising of Magnetic Resonance Images
Published Date
Jul 1, 2020
Journal
Volume
135
Pages
57 - 63
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