Deep Learning Reconstruction Enables Prospectively Accelerated Clinical Knee MRI.

Patricia M Johnson1, Dana J Lin1, Jure Zbontar1

  • 1From the Department of Radiology, New York University Grossman School of Medicine, 650 1st Ave, New York, NY 10016 (P.M.J., D.J.L., J.S.B., M.K., G.C., E.A., M.S., W.R.W., L.C., D.K.S., M.P.R., F.K.); Meta AI Research (FAIR), Menlo Park, Calif (J.Z., C.L.Z., A.S.); Meta AI Research, New York, NY (M.M.); Institute of Computer Graphics and Vision, Graz University of Technology, Graz, Austria (T.P.); and Faculty of Engineering, Friedrich Alexander University Erlangen-Nurnberg (FAU), Erlangen, Germany (F.K.).

Radiology
|January 17, 2023
PubMed
Summary

Deep learning (DL) reconstruction significantly speeds up knee MRI scans, offering diagnostic equivalence to conventional methods. This advancement improves image quality and reduces scan time for evaluating knee internal derangements in clinical practice.