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Abstract #3631

Automatic analysis of multi-echo GRE and DTI data of Parkinson’s disease patients and control subjects using atlas-based subcortical regions

Gerd Melkus1,2,3, Santanu Chakraborty1,2,3, Goncalo Santos4, Donghoon Kim2, David Grimes3,4, and Tiago Mestre3,4

1Medical Imaging, The Ottawa Hospital, Ottawa, ON, Canada, 2Radiology, University of Ottawa, Ottawa, ON, Canada, 3Ottawa Hospital Research Institute, Ottawa, ON, Canada, 4Division of Neurology, University of Ottawa Brain and Mind Research Institute, Ottawa, ON, Canada

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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