Image level detection of large vessel occlusion on 4D-CTA perfusion data using deep learning in acute stroke.

Journal: Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association
PMID: 36099657

Abstract

OBJECTIVES: Automated image-level detection of large vessel occlusions (LVO) could expedite patient triage for mechanical thrombectomy. A few studies have previously attempted LVO detection using artificial intelligence (AI) on CT angiography (CTA) images. To our knowledge this is the first study to detect LVO existence and location on raw 4D-CTA/ CT perfusion (CTP) images using neural network (NN) models.

Authors

  • Girish Bathla
    Mayo Clinic Rochester, Minnesota, USA.
  • Dhruba Durjoy
    Electrical and Computer Engineering, University of Iowa, Iowa City, IA, USA. Electronic address: durjoy-dhruba@uiowa.edu.
  • Sarv Priya
    The University of Iowa Iowa City, Iowa, USA.
  • Edgar Samaniego
    Department of Neurology, University of Iowa Hospitals and Clinics, Iowa City, IA, USA.
  • Colin P Derdeyn
    Department of Radiology, University of Iowa Hospitals and Clinics, Iowa City, IA, USA.

Keywords

External Resources

Popular Topics
Recent Journals