Next: Introduction
Up: tr03tb1
Previous: tr03tb1
A fully probabilistic framework is presented for estimating local
probability density functions on parameters of interest in a model of
diffusion. This technique is applied to the estimation of parameters
in the diffusion tensor model, and also to a simple partial volume
model of diffusion. In both cases the parameters of interest include
parameters defining local fiber direction. A technique is then
presented for using these density functions to estimate global
connectivity (i.e the probability of the existence of a connection
through the data field, between any two distant points), allowing for
the quantification of belief in tractography results. This technique
is then applied to the estimation of the cortical connectivity of the
human thalamus. The resulting connectivity distributions correspond
well with predictions from invasive tracer methods in non-human
primate.
Tim Behrens
2004-01-22