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Abstract #3014

Improved Longitudinal Gray Matter Atrophy Assessment Via a Combination of SIENA and a 4-Dimensional Hidden Markov Random Field Model

Michael G. Dwyer1, Niels P. Bergsland1, Robert Zivadinov1

1Buffalo Neuroimaging Analysis Center, University at Buffalo, Buffalo, NY, United States

We describe a novel technique for substantially improving the reliability of longitudinal gray matter atrophy measurement through the extension of SIENAXs hidden Markov random field model from 3 dimensions to 4. We validate our approach using both simulation and real clinical data, and show a marked improvement in effect size and statistical power.