Imaging Data Fusion

Imaging Data Fusion

Fusion of different modalities is beneficial to better correlate between the results of the various analyses. After coregistration of sMRI with fMRI and PET, the images are normalized into the common MNI space. This allows us to create average spaces unique to the study

Average Space and Fusion Templates

Montreal Neurological Institute (MNI) Space

The MNI space is a 3D coordinate grid template which is used to map location of different brain regions. Both fMRI and PET are warped and aligned into the MNI space via coregistration and normalization, thus removing the individual differences in the size and overall shape of the brain

DARTEL Space

Diffeomorphic Anatomical Registration Template using Exponentiated Lie algebra (DARTEL). These are templates of the average segmented structure unique to the study. Two templates are generated: one for gray matter, and another for white matter

Population Average Space

This is a template showing the combined average structure unique to the study. The template is used as a background for functional images during visualization

Mean and Skeletonized Diffusion Tracts

These are the results of the tract-based spatial statistics, showing the mean diffusion and anisotropy of the white matter tracts

Mean Standard Uptake Value Space

This is a template of the mean SUV measured per voxel

MRI-PET Fusion Templates

These are templates obtained by shooting the individual PET images to a) the gray matter DARTEL, b) white matter DARTEL, or c) population average space