Denoising single MR spectra by deep learning: Miracle or mirage?

Journal: Magnetic resonance in medicine
Published Date: Jun 18, 2023

Abstract

PURPOSE: The inherently poor SNR of MRS measurements presents a significant hurdle to its clinical application. Denoising by machine or deep learning (DL) was proposed as a remedy. It is investigated whether such denoising leads to lower estimate uncertainties or whether it essentially reduces noise in signal-free areas only.

Authors

  • Martyna Dziadosz
    MR Methodology, Department for Diagnostic and Interventional Neuroradiology, University of Bern, Bern, Switzerland.
  • Rudy Rizzo
    MR Methodology, Department for Diagnostic and Interventional Neuroradiology, University of Bern, Bern, Switzerland.
  • Sreenath P Kyathanahally
    Departments of Radiology and Clinical Research, University of Bern, Bern, Switzerland.
  • Roland Kreis
    Departments of Radiology and Clinical Research, University of Bern, Bern, Switzerland.

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