Signal intensity informed multi-coil encoding operator for physics-guided deep learning reconstruction of highly accelerated myocardial perfusion CMR.

Journal: Magnetic resonance in medicine
PMID: 36128896

Abstract

PURPOSE: To develop a physics-guided deep learning (PG-DL) reconstruction strategy based on a signal intensity informed multi-coil (SIIM) encoding operator for highly-accelerated simultaneous multislice (SMS) myocardial perfusion cardiac MRI (CMR).

Authors

  • Omer Burak Demirel
  • Burhaneddin Yaman
  • Chetan Shenoy
    Department of Medicine (Cardiology), University of Minnesota, Minneapolis, Minnesota, USA.
  • Steen Moeller
    Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, Minnesota.
  • Sebastian Weingärtner
    Computer Assisted Clinical Medicine, Medical Faculty Mannheim, Heidelberg University, Germany.
  • Mehmet Akçakaya
    Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, Minnesota.

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