Multi-band MR fingerprinting (MRF) ASL imaging using artificial-neural-network trained with high-fidelity experimental data.

Journal: Magnetic resonance in medicine
PMID: 33107100

Abstract

PURPOSE: We aim to leverage the power of deep-learning with high-fidelity training data to improve the reliability and processing speed of hemodynamic mapping with MR fingerprinting (MRF) arterial spin labeling (ASL).

Authors

  • Hongli Fan
    Department of Biomedical Engineering, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
  • Pan Su
    The Russell H. Morgan, Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, Maryland.
  • Judy Huang
    Department of Neurosurgery, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
  • Peiying Liu
    The Russell H. Morgan Department of Radiology & Radiological Science, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
  • Hanzhang Lu
    The Russell H. Morgan, Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, Maryland.

Keywords

External Resources

Popular Topics
Recent Journals