Artificial Neural Network Computer Tomography Perfusion Prediction of Ischemic Core

Stroke8.30
Volume: 50, Issue: 6, Pages: 1578 - 1581
Published: Jun 1, 2019
Abstract
Background and Purpose— Computed tomography perfusion (CTP) is a useful tool in the evaluation of acute ischemic stroke, where it can provide an estimate of the ischemic core and the ischemic penumbra. The optimal CTP parameters to identify the ischemic core remain undetermined. Methods— We used artificial neural networks (ANNs) to optimally predict the ischemic core in acute stroke patients, using diffusion-weighted imaging as the gold...
Paper Details
Title
Artificial Neural Network Computer Tomography Perfusion Prediction of Ischemic Core
Published Date
Jun 1, 2019
Journal
Volume
50
Issue
6
Pages
1578 - 1581
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