Deep Learning Reconstructed New-Generation 0.55 T MRI of the Knee-A Prospective Comparison With Conventional 3 T MRI.

Journal: Investigative radiology
Published Date: Jun 11, 2024

Abstract

OBJECTIVES: The aim of this study was to compare deep learning reconstructed (DLR) 0.55 T magnetic resonance imaging (MRI) quality, identification, and grading of structural anomalies and reader confidence levels with conventional 3 T knee MRI in patients with knee pain following trauma.

Authors

  • Ricardo Donners
    From the Department of Radiology, University Hospital Basel, Basel, Switzerland (R.D., J.V., M.S., M.S., M.B., M.O., D.H., H.-C.B.); Siemens Healthineers, Erlangen, Germany (M.F., M.D.N.); and Department of Radiology, Balgrist University Hospital, Zürich, Switzerland (F.S., I.T.).
  • Jan Vosshenrich
    Radiology and Nuclear Medicine, University Hospital Basel, Basel, Switzerland.
  • Martin Segeroth
    Clinic of Radiology and Nuclear Medicine, University Hospital Basel, Petersgraben 4, 4031, Basel, Switzerland.
  • Magdalena Seng
  • Matthias Fenchel
  • Marcel Dominik Nickel
    MR Application Predevelopment, Siemens Healthineers AG, Erlangen, Germany.
  • Michael Bach
    Clinic of Radiology and Nuclear Medicine, University Hospital Basel, Petersgraben 4, 4031, Basel, Switzerland.
  • Florian Schmaranzer
  • Inga Todorski
  • Markus M Obmann
    Clinic of Radiology and Nuclear Medicine, University Hospital Basel, University of Basel, Basel, Switzerland.
  • Dorothee Harder
  • Hanns-Christian Breit
    Department of Radiology, University Hospital of Basel, 4031, Basel-Stadt, Switzerland.

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