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Abstract #4314

MRI-based Simulation of Central Brain Atrophy for Evaluation of Brain Atrophy Measurement Methods

Kunio Nakamura 1 , Nicolas Guizard 1 , Vladimir S. Fonov 1 , Sridar Narayanan 1 , D. Louis Collins 1 , and Douglas L. Arnold 1

1 McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada

We developed an MRI simulation dataset with accurately known amount of brain volume and atrophy. We used tissue probability maps from 20 subjects and simulated central brain atrophy (enlarging lateral ventricles and contraction of surrounding brain tissue) by modifying the probability maps. The MRIs were simulated by mrisim/MINC (BrainWeb). Using this simulation dataset, we evaluated common brain atrophy measurement methods (SPM/SIENAX/SIENA/longitudinal FreeSurfer/Jacobian integration method) against the gold standard atrophy rates, which were measured from probability maps. SIENA, Jacobian, and FreeSurfer performed well in terms of correlation and/or accuracy. The dataset will be publicly available for validation of future methods.

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