Computational quantification of brain perivascular space morphologies: Associations with vascular risk factors and white matter hyperintensities. A study in the Lothian Birth Cohort 1936

Computational quantification of brain perivascular space morphologies: Associations with vascular risk factors and white matter hyperintensities. A study in the Lothian Birth Cohort 1936

Background and Purpose: Perivascular Spaces (PVS), also known as Virchow-Robin spaces, seen on structural brain MRI, are important fluid drainage conduits and are associated with small vessel disease (SVD). Computational quantification of visible PVS may enable efficient analyses in large datasets a...

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Bibliographic Details
Main Authors: Lucia Ballerini, Tom Booth, Maria del C. Valdés Hernández, Stewart Wiseman, Ruggiero Lovreglio, Susana Muñoz Maniega, Zoe Morris, Alison Pattie, Janie Corley, Alan Gow, Mark E. Bastin, Ian J. Deary, Joanna Wardlaw
Format: Article
Language:English
Published: Elsevier 2020-01-01
Series:NeuroImage: Clinical
Online Access:http://www.sciencedirect.com/science/article/pii/S221315821930467X

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http://www.sciencedirect.com/science/article/pii/S221315821930467X

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