Automated detection and segmentation of intracranial hemorrhage suspect hyperdensities in non-contrast-enhanced CT scans of acute stroke patients.

Journal: European radiology
Published Date: Nov 13, 2021

Abstract

OBJECTIVES: Artif icial intelligence (AI)-based image analysis is increasingly applied in the acute stroke field. Its implementation for the detection and quantification of hemorrhage suspect hyperdensities in non-contrast-enhanced head CT (NCCT) scans may facilitate clinical decision-making and accelerate stroke management.

Authors

  • N Schmitt
    Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany.
  • Y Mokli
    Department of Neurology, Heidelberg University Hospital, Heidelberg, Germany.
  • C S Weyland
    Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany.
  • S Gerry
    Centre for Statistics in Medicine, University of Oxford, Oxford, UK.
  • C Herweh
    Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany.
  • P A Ringleb
    Department of Neurology, Heidelberg University Hospital, Heidelberg, Germany.
  • S Nagel
    Department of Neurology, Heidelberg University Hospital, Heidelberg, Germany. simon.nagel@med.uni-heidelberg.de.

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