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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