Deep learning-based differentiation of peripheral high-flow and low-flow vascular malformations in T2-weighted short tau inversion recovery MRI.

Journal: Clinical hemorheology and microcirculation
Published Date:

Abstract

BACKGROUND: Differentiation of high-flow from low-flow vascular malformations (VMs) is crucial for therapeutic management of this orphan disease.

Authors

  • Simone Hammer
    Department of Radiology, Faculty of Medicine, Medical Center University of Regensburg, University of Regensburg, Regensburg, Germany.
  • Danilo Weber Nunes
    Regensburg Medical Image Computing (ReMIC), Ostbayerische Technische Hochschule Regensburg (OTH Regensburg), Regensburg, Germany.
  • Michael Hammer
    Regensburg Medical Image Computing (ReMIC), Ostbayerische Technische Hochschule Regensburg (OTH Regensburg), Regensburg, Germany.
  • Florian Zeman
    Centre for Clinical Studies, University Hospital of Regensburg, Regensburg, Germany.
  • Michael Akers
    Department of Radiology, Faculty of Medicine, Medical Center University of Regensburg, University of Regensburg, Regensburg, Germany.
  • Andrea Götz
    Department of Radiology, Faculty of Medicine, Medical Center University of Regensburg, University of Regensburg, Regensburg, Germany.
  • Annika Balla
    Department of Radiology, Faculty of Medicine, Medical Center University of Regensburg, University of Regensburg, Regensburg, Germany.
  • Michael Christian Doppler
    Department of Diagnostic and Interventional Radiology, Faculty of Medicine, Medical Center University of Freiburg, University of Freiburg, Freiburg, Germany.
  • Claudia Fellner
    Department of Radiology, Faculty of Medicine, Medical Center University of Regensburg, University of Regensburg, Regensburg, Germany.
  • Natascha Platz Batista da Silva
    Department of Radiology, Faculty of Medicine, Medical Center University of Regensburg, University of Regensburg, Regensburg, Germany.
  • Sylvia Thurn
    Department of Radiology, Faculty of Medicine, Medical Center University of Regensburg, University of Regensburg, Regensburg, Germany.
  • Niklas Verloh
    Department of Radiology, University Hospital Regensburg, Regensburg, Germany.
  • Christian Stroszczynski
    Department of Radiology, University Hospital Regensburg, Regensburg, Germany.
  • Walter Alexander Wohlgemuth
    Department of Radiology, Faculty of Medicine, Medical Center University of Halle (Saale), University of Halle (Saale), Halle, Germany.
  • Christoph Palm
    Regensburg Medical Image Computing (ReMIC), Ostbayerische Technische Hochschule Regensburg (OTH Regensburg), Germany; Regensburg Center of Biomedical Engineering (RCBE), OTH Regensburg and Regensburg University, Germany.
  • Wibke Uller
    Department of Diagnostic and Interventional Radiology, Faculty of Medicine, Medical Center University of Freiburg, University of Freiburg, Freiburg, Germany.