A deep learning method to identify and localize large-vessel occlusions from cerebral digital subtraction angiography.

Journal: Journal of neuroimaging : official journal of the American Society of Neuroimaging
PMID: 38506407

Abstract

BACKGROUND AND PURPOSE: An essential step during endovascular thrombectomy is identifying the occluded arterial vessel on a cerebral digital subtraction angiogram (DSA). We developed an algorithm that can detect and localize the position of occlusions in cerebral DSA.

Authors

  • Roshan Warman
    Caire Health Inc., Tampa, Florida, USA.
  • Pranav I Warman
    Division of Global Neurosurgery and Neurology, Duke University Medical Center, Durham, North Carolina, USA.
  • Anmol Warman
    Caire Health Inc., Tampa, Florida, USA.
  • Tulio Bueso
    Department of Neurology, Texas Tech University Medical Sciences Center, Lubbock, Texas, USA.
  • Riichi Ota
    Department of Neurology, Texas Tech University Medical Sciences Center, Lubbock, Texas, USA.
  • Thomas Windisch
    Department of Neurology, Texas Tech University Medical Sciences Center, Lubbock, Texas, USA; Covenant Health, Lubbock, Texas, USA.
  • Gabriel Neves
    Department of Neurology, Texas Tech University Medical Sciences Center, Lubbock, Texas, USA. Electronic address: gabriel.neves@ttuhsc.edu.

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