Automated detection of arterial landmarks and vascular occlusions in patients with acute stroke receiving digital subtraction angiography using deep learning.

Journal: Journal of neurointerventional surgery
PMID:

Abstract

BACKGROUND: Digital subtraction angiography (DSA) is the gold-standard method of assessing arterial blood flow and blockages prior to endovascular thrombectomy.

Authors

  • Jui Khankari
    Department of Radiology, Stanford University, Stanford, California, USA.
  • Yannan Yu
  • Jiahong Ouyang
    Stanford University, Stanford CA 94305, USA.
  • Ramy Hussein
    Department of Electrical and Computer Engineering, University of British Columbia, Vancouver, BC V6T 1Z4, Canada; Digital Aviation Lab, Boeing, Vancouver, BC V6B 2X6, Canada. Electronic address: ramy@ece.ubc.ca.
  • Huy M Do
    Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Building 10, 9000 Rockville Pike, Bethesda, MD 20892, USA. Electronic address: huy.do@nih.gov.
  • Jeremy J Heit
    Department of Neuroradiology, Stanford University, 300 Pasteur Drive, Stanford, CA 94305, USA.
  • Greg Zaharchuk
    Stanford University, Stanford CA 94305, USA.