Deep learning-based acceleration of high-resolution compressed sense MR imaging of the hip.

Journal: European journal of radiology open
Published Date:

Abstract

PURPOSE: To evaluate a Compressed Sense Artificial Intelligence framework (CSAI) incorporating parallel imaging, compressed sense (CS), and deep learning for high-resolution MRI of the hip, comparing it with standard-resolution CS imaging.

Authors

  • Alexander W Marka
    Department of Diagnostic and Interventional Radiology, Klinikum Rechts Der Isar, School of Medicine, Technical University of Munich, Institut für diagnostische und interventionelle Radiologie, Ismaninger Str. 22, 81675, Munich, Germany. alexander.marka@tum.de.
  • Felix Meurer
    Musculoskeletal Radiology Section, TUM School of Medicine, Technical University of Munich, Ismaninger Str 22, 81675, Munich, Germany.
  • Vanessa Twardy
    Clinic of Orthopedics and Sports Orthopedics, Klinikum rechts der Isar, Technical University of Munich, Ismaninger Strasse 22, Munich 81675, Germany.
  • Markus Gräf
    Department of Internal Medicine 3, Friedrich-Alexander-University Erlangen-Nürnberg and Universitätsklinikum Erlangen, Erlangen, Germany.
  • Saba Ebrahimi Ardjomand
    Institute of Diagnostic and Interventional Radiology, School of Medicine and Health, TUM Klinikum, Technical University of Munich (TUM), Ismaninger Str. 22, Munich 81675, Germany.
  • Kilian Weiss
    Philips GmbH, Röntgenstrasse 22, 22335, Hamburg, Germany.
  • Marcus R Makowski
    School of Medicine and Health, Department of Diagnostic and Interventional Radiology, Klinikum rechts der Isar, TUM University Hospital, Technical University of Munich, Munich, Germany.
  • Alexandra S Gersing
    From the Department of Radiology (C.E.v.S., V.S.S., Y.L., F.G.G., S.C.F., F.T.G., M.R.M., K.W., A.S.G.), Department for Orthopedics and Orthopedic Sports Medicine (N.J.W., C.K., R.v.E., R.B.), and Institute of Pathology (C.M.), Klinikum Rechts der Isar, Technische Universität München, Ismaninger Str 22, 81675 Munich, Germany; and the Department of Diagnostic and Interventional Radiology, Medical Center-University of Freiburg, Faculty of Medicine, Freiburg, Germany (M.J., P.M.J., M.F.R.).
  • Dimitrios C Karampinos
    Department of Radiology, Klinikum Rechts der Isar, Technische Universität München, Ismaninger Straße 22, 81675, Munich, Germany.
  • Jan Neumann
    Department of Radiology, Klinikum Rechts der Isar, Technische Universität München, Ismaninger Straße 22, 81675, Munich, Germany.
  • Klaus Woertler
    From the Department of Radiology (C.E.v.S., V.S.S., Y.L., F.G.G., S.C.F., F.T.G., M.R.M., K.W., A.S.G.), Department for Orthopedics and Orthopedic Sports Medicine (N.J.W., C.K., R.v.E., R.B.), and Institute of Pathology (C.M.), Klinikum Rechts der Isar, Technische Universität München, Ismaninger Str 22, 81675 Munich, Germany; and the Department of Diagnostic and Interventional Radiology, Medical Center-University of Freiburg, Faculty of Medicine, Freiburg, Germany (M.J., P.M.J., M.F.R.).
  • Ingo J Banke
    Clinic of Orthopedics and Sports Orthopedics, Klinikum rechts der Isar, Technical University of Munich, Ismaninger Strasse 22, Munich 81675, Germany.
  • Sarah C Foreman
    From the Department of Radiology and Biomedical Imaging (C.E.v.S., J.H.S., E.O., P.M.J., M.P., S.C.F., T.M.L., V.P.) and Department of Epidemiology and Biostatistics (F.L., M.C.N.), University of California, San Francisco, 185 Berry St, Suite 350, San Francisco, CA 94107; Department of Diagnostic and Interventional Radiology, Technische Universität München, Munich, Germany (C.E.v.S., S.C.F.); Department of Diagnostic and Interventional Radiology, Medical Center-University of Freiburg, Faculty of Medicine, Freiburg, Germany (P.M.J.); and Department of Radiology, University of California Davis Health, Sacramento, Calif (L.N.).

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