SAM-X: sorting algorithm for musculoskeletal x-ray radiography.

Journal: European radiology
Published Date: Oct 29, 2022

Abstract

OBJECTIVE: To develop a two-phased deep learning sorting algorithm for post-X-ray image acquisition in order to facilitate large musculoskeletal image datasets according to their anatomical entity.

Authors

  • Florian Hinterwimmer
    Department of Orthopaedics and Sports Orthopaedics, Klinikum Rechts der Isar, Technical University Munich, Ismaningerstr. 22, 81675, Munich, Germany. florian.hinterwimmer@tum.de.
  • Sarah Consalvo
    Department of Orthopaedics and Sports Orthopaedic, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany; sarah.consalvo@mri.tum.de.
  • Nikolas Wilhelm
    Department of Orthopaedics and Sports Orthopaedics, Klinikum rechts der Isar, Technical University of Munich, Ismaninger Str. 25, 81675, Munich, Germany.
  • Fritz Seidl
    Department of Trauma Surgery, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany.
  • Rainer H H Burgkart
    Department of Orthopaedics and Sports Orthopaedic, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany.
  • Rüdiger von Eisenhart-Rothe
    Klinik und Poliklinik für Orthopädie und Sportorthopädie, Klinikum rechts der Isar der TU München, München, Deutschland.
  • Daniel Rueckert
    Biomedical Image Analysis (BioMedIA) Group, Department of Computing, Imperial College London, UK. Electronic address: d.rueckert@imperial.ac.uk.
  • Jan Neumann
    Department of Radiology, Klinikum Rechts der Isar, Technische Universität München, Ismaninger Straße 22, 81675, Munich, Germany.

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