A Machine Learning Approach to Perfusion Imaging With Dynamic Susceptibility Contrast MR

A Machine Learning Approach to Perfusion Imaging With Dynamic Susceptibility Contrast MR

Background: Dynamic susceptibility contrast (DSC) MR perfusion is a frequently-used technique for neurovascular imaging. The progress of a bolus of contrast agent through the tissue of the brain is imaged via a series of T2*-weighted MRI scans. Clinically relevant parameters such as blood flow and T...

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Bibliographic Details
Main Authors: Richard McKinley, Fan Hung, Roland Wiest, David S. Liebeskind, Fabien Scalzo
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-09-01
Series:Frontiers in Neurology
Subjects:
machine learning
stroke
perfusion
reperfusion
penumbra
Online Access:https://www.frontiersin.org/article/10.3389/fneur.2018.00717/full

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https://www.frontiersin.org/article/10.3389/fneur.2018.00717/full

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