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Abstract #0820

Combining SIENA & SIENAx for Improved Quantification of Grey and White Matter Atrophy

Mishkin Derakhshan1, Sridar Narayanan1, D. Louis Collins1, Douglas L. Arnold1

1Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada

We propose a novel technique for a more sensitive measurement of tissue-specific atrophy by combining the precise, longitudinal edge-displacement approach of SIENA with the tissue classification feature of SIENAx. The method is evaluated using (1) scan-rescan data and (2) simulated atrophy data and (3) is applied to a multi-centre relapsing-remitting multiple sclerosis dataset.