Deep Learning-Enabled Automated Quality Control for Liver MR Elastography: Initial Results.

Journal: Journal of magnetic resonance imaging : JMRI
PMID: 39776044

Abstract

BACKGROUND: Several factors can impair image quality and reliability of liver magnetic resonance elastography (MRE), such as inadequate driver positioning, insufficient wave propagation and patient-related factors.

Authors

  • Heriberto A Nieves-Vazquez
    Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, Georgia, USA.
  • Efe Ozkaya
  • Waiman Meinhold
  • Amine Geahchan
    BioMedical Engineering and Imaging Institute, Icahn School of Medicine Mount Sinai, New York, New York, USA.
  • Octavia Bane
    BioMedical Engineering and Imaging Institute, Icahn School of Medicine Mount Sinai, New York, New York, USA.
  • Jun Ueda
  • Bachir Taouli
    BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA. bachir.taouli@mountsinai.org.

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