Highly accelerated, model-free diffusion tensor MRI reconstruction using neural networks.

Journal: Medical physics
Published Date: Feb 14, 2019

Abstract

PURPOSE: The purpose of this study was to develop a neural network that accurately performs diffusion tensor imaging (DTI) reconstruction from highly accelerated scans.

Authors

  • Eric Aliotta
    Department of Radiation Oncology, University of Virginia, Charlottesville, VA, 22908, USA.
  • Hamidreza Nourzadeh
    Department of Radiation Oncology, University of Virginia, Charlottesville, VA, 22908, USA.
  • Jason Sanders
    Department of Radiation Oncology, University of Virginia, Charlottesville, VA, 22908, USA.
  • Donald Muller
    Department of Radiation Oncology, University of Virginia, Charlottesville, VA, 22908, USA.
  • Daniel B Ennis
    Department of Radiology, Stanford University, Stanford, CA, 94305, USA.

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