Denoising low-field MR images with a deep learning algorithm based on simulated data from easily accessible open-source software.

Journal: Journal of magnetic resonance (San Diego, Calif. : 1997)
Published Date: Nov 29, 2024

Abstract

In this study, we introduce a denoising method aimed at improving the contrast ratio in low-field MRI (LFMRI) using an advanced 3D deep convolutional residual network model. Our approach employs synthetic brain imaging datasets that closely mimic the contrast and noise characteristics of LFMRI scans, addressing the limitation of available in-vivo LFMRI datasets for training deep learning models. In the simulation data, the Relative Contrast Ratio (RCR) increased, and similar improvements were observed in the in-vivo data across different imaging conditions. Comparative evaluations demonstrate that our model performs better than the widely used non-deep learning method, BM4D, in enhancing RCR and maintaining high spatial frequency components in in-vivo data.

Authors

  • Aram Salehi
    Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands; Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands; Department of Clinical Genetics, Erasmus MC University Medical Center, Rotterdam, The Netherlands.
  • Mathieu Mach
    Neuro-X Institute, Ecole Polytechnique Fédérale De Lausanne (EPFL), Geneva, Switzerland.
  • Chloe Najac
    Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands.
  • Beatrice Lena
    Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands.
  • Thomas O'Reilly
    Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands.
  • Yiming Dong
    Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands.
  • Peter Börnert
    Philips Research Hamburg, Hamburg 22335, Germany.
  • Hieab Adams
    Departments of Radiology and Epidemiology, Erasmus MC - University Medical Center Rotterdam, The Netherlands.
  • Tavia Evans
    Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands; Department of Clinical Genetics, Erasmus MC University Medical Center, Rotterdam, The Netherlands; Global Brain Health Institute, Trinity College Dublin, Dublin, Ireland.
  • Andrew Webb
    C.J. Gorter Center for High Field MRI, Leiden University Medical Center, Leiden, Netherlands.

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