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.