Recovering SWI-filtered phase data using deep learning.

Journal: Magnetic resonance in medicine
Published Date: Oct 5, 2021

Abstract

PURPOSE: To develop a deep neural network to recover filtered phase from clinical MR phase images to enable the computation of QSMs.

Authors

  • Christian Kames
    UBC MRI Research Centre, The University of British Columbia, Vancouver, British Columbia, Canada.
  • Jonathan Doucette
    UBC MRI Research Centre, The University of British Columbia, Vancouver, British Columbia, Canada.
  • Christoph Birkl
    Department of Neuroradiology, Medical University of Innsbruck, Innsbruck, Austria.
  • Alexander Rauscher
    UBC MRI Research Centre, The University of British Columbia, Vancouver, British Columbia, Canada.

Keywords

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