Suppression of artifact-generating echoes in cine DENSE using deep learning.

Journal: Magnetic resonance in medicine
Published Date: May 22, 2021

Abstract

PURPOSE: To use deep learning for suppression of the artifact-generating T -relaxation echo in cine displacement encoding with stimulated echoes (DENSE) for the purpose of reducing the scan time.

Authors

  • Mohamad Abdi
    Department of Biomedical Engineering, University of Virginia, Charlottesville, Virginia, USA.
  • Xue Feng
    Department of Radiology and Medical Imaging, University of Virginia, Charlottesville, Virginia.
  • Changyu Sun
    Department of Biomedical Engineering, University of Virginia, Health System, Box 800759, Charlottesville, VA, 22908, USA.
  • Kenneth C Bilchick
    Department of Medicine, University of Virginia Health System, Charlottesville, VA, USA.
  • Craig H Meyer
    Department of Biomedical Engineering, University of Virginia, Charlottesville, VA, 22903, USA.
  • Frederick H Epstein
    Department of Biomedical Engineering, University of Virginia, Health System, Box 800759, Charlottesville, VA, 22908, USA. fhe6b@virginia.edu.

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