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 Melkus^1,2,3, Santanu Chakraborty^1,2,3, Goncalo Santos⁴, Donghoon Kim², David Grimes^3,4, and Tiago Mestre^3,4

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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