Deep learning reconstruction for cardiac magnetic resonance fingerprinting T and T mapping.

Journal: Magnetic resonance in medicine
Published Date: Oct 26, 2020

Abstract

PURPOSE: To develop a deep learning method for rapidly reconstructing T and T maps from undersampled electrocardiogram (ECG) triggered cardiac magnetic resonance fingerprinting (cMRF) images.

Authors

  • Jesse I Hamilton
    Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH 44106 USA, and the Department of Radiology, University of Michigan, Ann Arbor, MI 48109.
  • Danielle Currey
    Department of Computer Science, Johns Hopkins University, Baltimore, Maryland, USA.
  • Sanjay Rajagopalan
    Department of Radiology, University Hospitals Cleveland Medical Center, Cleveland, Ohio, USA.
  • Nicole Seiberlich
    Department of Biomedical Engineering and the Department of Electrical Engineering and Computer Science, Case Western Reserve University, Cleveland, OH 44106 USA, the Department of Radiology and Cardiology, University Hospitals, Cleveland, OH 44106 USA, and the Department of Radiology, University of Michigan, Ann Arbor, MI 48109.

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