Paul Polak1, Robert Zivadinov1,2, Guy Poloni1
1Buffalo Neuroimaging Analysis Center, Department of Neurology, University at Buffalo, State University of New York, Buffalo, NY, United States; 2The Jacobs Neurological Institute, Department of Neurology, University at Buffalo, State University of New York, Buffalo, NY, United States
Multiple Sclerosis is believed to be a chronic, autoimmune, neurodegenerative disease of the CNS. Approaches that monitor disease progression in the white matter tissue via T2-weighed imaging suffer from the clinical/radiological paradox, in that poor or no correlation is found between clinical outcomes and MR metrics. We propose using an experimental method to optimize lesion contrast in white and grey matter tissues, using regions of interest analysis. Using the resulting data we propose a set of 3D DIR sequence parameters designed to improve the detection of clinically significant lesions in both white and grey matter.