Ultra-fast single-sequence magnetic resonance imaging (MRI) for lower back pain: diagnostic performance of a deep learning T2-Dixon pprotocol.

Journal: Clinical radiology
Published Date: Jun 11, 2025

Abstract

BACKGROUND: Conventional magnetic resonance imaging (MRI) protocols for lower back pain require multiple sequences and long acquisition times, challenging healthcare systems amid rising demand for lumbar spine imaging.

Authors

  • T D Diallo
    Department of Diagnostic and Interventional Radiology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Germany. Electronic address: thierno.diallo@uniklinik-freiburg.de.
  • S Wiedemann
    Department of Diagnostic and Interventional Radiology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Germany.
  • Z Berkarda
    Department of Diagnostic and Interventional Radiology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Germany.
  • R Strecker
    MR Application Predevelopment, Siemens Healthineers GmbH, Erlangen, Germany.
  • D Nickel
    MR Application Predevelopment, Siemens Healthineers GmbH, Erlangen, Germany.
  • F Bamberg
    Department of Radiology, University of Tübingen, Tübingen, Germany.
  • A Rau
    Department of Diagnostic and Interventional Radiology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Germany.
  • T Mayrhofer
    School of Business Studies, Stralsund University of Applied Sciences, Stralsund, Germany.
  • M F Russe
    Department of Diagnostic and Interventional Radiology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Germany.
  • J Weiß
    Department of Radiology, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg im Breisgau, Germany.

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