Support Vector Machine-based Spontaneous Intracranial Hypotension Detection on Brain MRI.

Journal: Clinical neuroradiology
Published Date: Mar 1, 2022

Abstract

BACKGROUND AND PURPOSE: To develop a fully automatic algorithm for the magnetic resonance imaging (MRI) identification of patients with spontaneous intracranial hypotension (SIH).

Authors

  • Philipp G Arnold
    Department of Neuroradiology, Medical Center, University of Freiburg, Breisacher Str. 64, 79106, Freiburg, Germany. philipp.arnold@uniklinik-freiburg.de.
  • Emre Kaya
    Department of Neuroradiology, Medical Center, University of Freiburg, Breisacher Str. 64, 79106, Freiburg, Germany.
  • Marco Reisert
    Medical Physics, Department of Diagnostic and Interventional Radiology, Medical Center, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
  • Niklas Lützen
    Department of Neuroradiology, Medical Center - University of Freiburg, Freiburg, Germany.
  • Philippe Dovi-Akué
    Department of Neuroradiology, Medical Center, University of Freiburg, Breisacher Str. 64, 79106, Freiburg, Germany.
  • Christian Fung
    Department of Neurosurgery, Medical Center - University of Freiburg, Freiburg, Germany.
  • Jürgen Beck
    Department of Neurosurgery, Medical Center - University of Freiburg, Freiburg, Germany.
  • Horst Urbach
    Department of Neuroradiology, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.

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