Machine Learning for Quantification of Small Vessel Disease Imaging Biomarkers

M. Ghafoorian

• Promotor: N. Karssemeijer
• Copromotor: B. Platel
• Graduation year: 2018
• Radboud University, Nijmegen

Abstract

This thesis describes various methods for the quantification of white matter hyperintensities (WMH) and lacunes as two imaging biomarkers of small vessel disease (SVD) in MR images