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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