Machine learning segmentation of core and penumbra from acute stroke CT perfusion data

Machine learning segmentation of core and penumbra from acute stroke CT perfusion data

IntroductionComputed tomography perfusion (CTP) imaging is widely used in cases of suspected acute ischemic stroke to positively identify ischemia and assess suitability for treatment through identification of reversible and irreversible tissue injury. Traditionally, this has been done via setting s...

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Bibliographic Details
Main Authors: Freda Werdiger, Mark W. Parsons, Milanka Visser, Christopher Levi, Neil Spratt, Tim Kleinig, Longting Lin, Andrew Bivard
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-02-01
Series:Frontiers in Neurology
Subjects:
acute ischemic stroke
CT perfusion imaging
machine learning
ischemic core
penumbra
Online Access:https://www.frontiersin.org/articles/10.3389/fneur.2023.1098562/full

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