Accelerated two-dimensional phase-contrast for cardiovascular MRI using deep learning-based reconstruction with complex difference estimation.

Journal: Magnetic resonance in medicine
Published Date:

Abstract

PURPOSE: To develop and validate a deep learning-based reconstruction framework for highly accelerated two-dimensional (2D) phase contrast (PC-MRI) data with accurate and precise quantitative measurements.

Authors

  • Julio A Oscanoa
    Department of Bioengineering, Stanford University, Stanford, California, USA.
  • Matthew J Middione
    Department of Radiology, Stanford University, Stanford, California, USA.
  • Ali B Syed
    Divison of Musculoskeletal Imaging and Intervention, Department of Radiology, Thomas Jefferson University Hospital, Sidney Kimmel Medical College at Thomas Jefferson University, Philadelphia, Pennsylvania.
  • Christopher M Sandino
    Magnetic Resonance Systems Research Laboratory, Department of Electrical Engineering, Stanford University, Stanford, CA.
  • Shreyas S Vasanawala
  • Daniel B Ennis
    Department of Radiology, Stanford University, Stanford, CA, 94305, USA.