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Abstract #1098

Automated Detection, Segmentation, and Longitudinal Tracking of Active MS Lesions Via Subtraction MRI

Colin D. Shea1, Navid Shiee2, Emily Wood1, Dzung Pham2, Govind Bhagavatheeshwaran1, Daniel S. Reich1

1NINDS, National Institutes of Health, Bethesda, MD, United States; 2Diagnostic Radiology, National Institutes of Health, Bethesda, MD, United States


We present an automated method based on subtraction MRI to detect, delineate, and track new and changing MS lesions in order to study the spatiotemporal dynamics of lesions in large datasets.