Multi-parametric brain MRI longitudinal studies, which result in multiple quantitative parameter maps, can require intense post-processing work and time if several sub-cortical structures need to be analyzed individually on a region of interest (ROI) basis. In this study, we used a brain co-registration process together with a structural subcortical probability atlas for an automated analysis of quantitative MRI data. Patients with a recent diagnosis of Parkinson’s disease (<1 year) and healthy controls underwent brain MRI in a longitudinal study design. Quantitative maps derived from multi-echo GRE and DTI acquisitions were analyzed using this automated post-processing procedure at 3 different time points.
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