Deep Learning-based Assessment of Internal Carotid Artery Anatomy to Predict Difficult Intracranial Access in Endovascular Recanalization of Acute Ischemic Stroke.

Gregor NagelerIngmar GergelMarkus FangerauMichael BreckwoldtFatih SekerMartin BendszusMarkus MöhlenbruchUlf Neuberger

Published in: Clinical neuroradiology (2023)

The association between ICA angle and EVT duration could be verified and a DL-based method for semi-automatic assessment with the potential for full automation was developed. More anatomical features of interest could be examined in a similar fashion.

Keyphrases

acute ischemic stroke
internal carotid artery
deep learning
middle cerebral artery
machine learning
artificial intelligence
high resolution
convolutional neural network
risk assessment
endovascular treatment
mass spectrometry
optical coherence tomography