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| Paper IPM / Cognitive / 11387 |
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| Abstract: | |||||
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The purpose of this study was to segment the brain structures in temporal lobe epilepsy (TLE) using 3D T1-
weighed magnetic resonance images (MRI). Twelve patients with average age of 43 and standard deviation of
12 years were studied. We used specific preprocessing stages through optimized voxel-based morphometry
(VBM) with additional spatial normalization steps to obtain more accurate results. Specific template creation,
excluding nonbrain voxels by morphological operations, image registration, gray matter (GM) segmentation,
and correction for volume changes are different stages of spatial normalization in optimized VBM. All of the
gray matter voxels were labeled using an anatomical atlas to create individual regions for each of the brain
structures. In our study, we examined hippocampus, amygdala, and entorhinal cortex which are most
affected by TLE. The proposed approaches are evaluated by comparing automatic and expert?s segmentation
results and confirming their similarity.
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