Deep-Learning-Based Contrast Synthesis From MRF Parameter Maps in the Knee Joint.

Journal: Journal of magnetic resonance imaging : JMRI
Published Date: Dec 23, 2022

Abstract

BACKGROUND: Magnetic resonance fingerprinting (MRF) is a method to speed up acquisition of quantitative MRI data. However, MRF does not usually produce contrast-weighted images that are required by radiologists, limiting reachable total scan time improvement. Contrast synthesis from MRF could significantly decrease the imaging time.

Authors

  • Olli Nykänen
    Department of Applied Physics, Faculty of Science and Forestry, University of Eastern Finland, Kuopio, Finland.
  • Mika Nevalainen
    University of Oulu, Oulu, Finland.
  • Victor Casula
    Research Unit of Health Sciences and Technology, Faculty of Medicine, University of Oulu, Oulu, Finland.
  • Antti Isosalo
    Research Unit of Medical Imaging, Physics and Technology, Faculty of Medicine, University of Oulu, Oulu, Finland.
  • Satu I Inkinen
    HUS Diagnostic Center, Radiology, Helsinki University and Helsinki University Hospital, Haartmaninkatu 4, 00290 Helsinki, Finland. Electronic address: satu.inkinen@hus.fi.
  • Marko Nikki
    Oulu University Hospital, Oulu, Finland.
  • Riccardo Lattanzi
    Center for Advanced Imaging Innovation and Research (CAI2R) and Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, New York, USA.
  • Martijn A Cloos
    Centre for Advanced Imaging, University of Queensland, Brisbane, Australia.
  • Mikko J Nissi
    Department of Applied Physics, Faculty of Science and Forestry, University of Eastern Finland, Kuopio, Finland.
  • Miika T Nieminen
    Research Unit of Medical Imaging, Physics and Technology, University of Oulu, Oulu, Finland.

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