Meeting Banner
Abstract #3984

A Probabilistic White Matter Atlas Approach to Assessing Age Related Changes in the Brain

Emma Claire Robinson1,2, Fani Deligianni1,2, Alexander Hammers2, Daniel Rueckert1, A. David Edwards2

1Department of Computing, Imperial College, London, United Kingdom; 2Clinical Sciences Centre, Imperial College, London, United Kingdom

This abstract presents a study of fractional anisotropy (FA) variability in tracts passing from anterior to posterior regions of the brain during healthy ageing. Tracts are propagated in a common-co-ordinate space using a probabilistic white matter atlas. This is constructed by transforming uncertainty distributions on the principle diffusion directions for each subject to a common co-ordinate space and combining to generate a distribution for the population. FA is compared all voxels along the tract using permutation testing. Studying tracts in this way allows direct visualisation of FA changes along the full length of the tract