Enhancement of cerebrovascular 4D flow MRI velocity fields using machine learning and computational fluid dynamics simulation data

Abstract Blood flow metrics obtained with four-dimensional (4D) flow phase contrast (PC) magnetic resonance imaging (MRI) can be of great value in clinical and experimental cerebrovascular analysis. However, limitations in both quantitative and qualitative analyses can result from errors inherent to...

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Auteurs principaux: David R. Rutkowski, Alejandro Roldán-Alzate, Kevin M. Johnson
Format: article
Langue:EN
Publié: Nature Portfolio 2021
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R
Q
Accès en ligne:https://doaj.org/article/d295f749fc4349b59b3d4283af72621a
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