Model-informed unsupervised deep learning approaches to frequency and phase correction of MRS signals.
Journal:
Magnetic resonance in medicine
Published Date:
Nov 11, 2022
Abstract
PURPOSE: A supervised deep learning (DL) approach for frequency and phase correction (FPC) of MRS data recently showed encouraging results, but obtaining transients with labels for supervised learning is challenging. This work investigates the feasibility and efficiency of unsupervised deep learning-based FPC.