Automated Prediction of Ischemic Brain Tissue Fate from Multiphase Computed Tomographic Angiography in Patients with Acute Ischemic Stroke Using Machine Learning

Automated Prediction of Ischemic Brain Tissue Fate from Multiphase Computed Tomographic Angiography in Patients with Acute Ischemic Stroke Using Machine Learning

Background and Purpose Multiphase computed tomographic angiography (mCTA) provides time variant images of pial vasculature supplying brain in patients with acute ischemic stroke (AIS). To develop a machine learning (ML) technique to predict tissue perfusion and infarction from mCTA source images. Me...

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Bibliographic Details
Main Authors: Wu Qiu, Hulin Kuang, Johanna M. Ospel, Michael D. Hill, Andrew M. Demchuk, Mayank Goyal, Bijoy K. Menon
Format: Article
Language:English
Published: Korean Stroke Society 2021-05-01
Series:Journal of Stroke
Subjects:
ischemic stroke
multiphase computed tomography angiography
cerebral infarction
perfusion
machine learning
Online Access:http://www.j-stroke.org/upload/pdf/jos-2020-05064.pdf

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