Fast Normalization of Probabilistic Tractography

Stephen Edward Jones^1,2, Kenneth Sakaie

Numerical computation of track density using probabalistic DWI can be inefficient, particularly for distant points. We present a method that uses a partial differential equation approach (Laplace's equation) to solve the special isotropic case of probablistic tracking. This provides a rapid solution for any two points within the brain, with arbitrary accuracy. This solution can be coupled with anisotropic probablistic tracking to obtain scalar measures of connectivity.