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Abstract #2492

Extending BrainWeb for Evaluating Methods of Brain Volume Change: Simulation of Central and Peripheral Brain Atrophy

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

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

We have developed simulate MRI datasets with simulated atrophy that allows accuracy evaluation of image analysis methods in detecting volume changes in whole brain, gray matter, and white matter. We have simulated 3 types of atrophy (central, peripheral, and combination). We applied standard techniques as well as our in-house method to detect brain volume changes and quantitatively compared these methods. The results showed that SIENA in FSL tended to overestimate central brain atrophy and that tensor-based morphometry developed locally performed well in the combination of atrophy. The dataset will be publicly available as a part of BrainWeb.

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