Ultrafast (milliseconds), multidimensional RF pulse design with deep learning.

Journal: Magnetic resonance in medicine
PMID:

Abstract

PURPOSE: Some advanced RF pulses, like multidimensional RF pulses, are often long and require substantial computation time because of a number of constraints and requirements, sometimes hampering clinical use. However, the pulses offer opportunities of reduced-FOV imaging, regional flip-angle homogenization, and localized spectroscopy, e.g., of hyperpolarized metabolites. Proposed herein is a novel deep learning approach to ultrafast design of multidimensional RF pulses with intention of real-time pulse updates.

Authors

  • Mads Sloth Vinding
    Center of Functionally Integrative Neuroscience, Aarhus University, Denmark.
  • Birk Skyum
    Center of Functionally Integrative Neuroscience, Aarhus University, Denmark.
  • Ryan Sangill
    Center of Functionally Integrative Neuroscience, Aarhus University, Denmark.
  • Torben Ellegaard Lund
    Center of Functionally Integrative Neuroscience, Aarhus University, Denmark.