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Quantification of cerebral veins in patients with acute migraine with aura: A fully automated quantification algorithm using susceptibility-weighted imaging.

Philipe Sebastian BreidingFrauke Kellner-WeldonLorenz GrunderAdrian ScutelnicUrs FischerThomas Raphael MeinelNedelina SlavovaJan GrallaMarwan El-KoussyNiklaus Denier
Published in: PloS one (2020)
A fully automated algorithm can accurately identify and quantify cerebral venous distribution on SWI. Absolute quantification may be useful for the future assessment of patients with suspected diseases, which may be associated with a unilateral abnormal degree of venous oxygenation.
Keyphrases
  • deep learning
  • machine learning
  • subarachnoid hemorrhage
  • high throughput
  • high resolution
  • magnetic resonance
  • computed tomography
  • brain injury
  • cerebral blood flow
  • inferior vena cava
  • blood flow