Improving FLAIR SAR efficiency at 7T by adaptive tailoring of adiabatic pulse power through deep learning estimation.

Journal: Magnetic resonance in medicine
PMID: 33226685

Abstract

PURPOSE: The purpose of this study is to demonstrate a method for specific absorption rate (SAR) reduction for 2D T -FLAIR MRI sequences at 7 T by predicting the required adiabatic radiofrequency (RF) pulse power and scaling the RF amplitude in a slice-wise fashion.

Authors

  • Shahrokh Abbasi-Rad
    Centre for Advanced Imaging, The University of Queensland, Brisbane, Queensland, Australia.
  • Kieran O'Brien
    Center for Advanced Imaging, University of Queensland, St Lucia, QLD, Australia.
  • Samuel Kelly
    Centre for Advanced Imaging, The University of Queensland, Brisbane, Queensland, Australia.
  • Viktor Vegh
    Centre for Advanced Imaging, The University of Queensland, Brisbane, Queensland, Australia.
  • Anders Rodell
    Siemens Healthcare Pty Ltd, Brisbane, Queensland, Australia.
  • Yasvir Tesiram
    Centre for Advanced Imaging, The University of Queensland, Brisbane, Queensland, Australia.
  • Jin Jin
    Siemens Healthcare Pty Ltd, Brisbane, Queensland, Australia.
  • Markus Barth
    Center for Advanced Imaging, University of Queensland, St Lucia, QLD, Australia.
  • Steffen Bollmann
    Centre for Advanced Imaging, The University of Queensland, Building 57 of University Dr, St Lucia, QLD 4072, Brisbane, Australia. Electronic address: steffen.bollmann@cai.uq.edu.au.

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