To introduce a novel convolutional neural network (CNN)‐based approach for frequency‐and‐phase correction (FPC) of MR spectroscopy (MRS) spectra to achieve fast and accurate FPC of single‐voxel MEGA‐PRESS MRS data.
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MR spectroscopy frequency and phase correction using convolutional neural networks
Semantic Scholar · Computer Science · 2021
Abstract
To introduce a novel convolutional neural network (CNN)‐based approach for frequency‐and‐phase correction (FPC) of MR spectroscopy (MRS) spectra to achieve fast and accurate FPC of single‐voxel MEGA‐PRESS MRS data.