Abstract: Object In this study simple and computationally efficient random-walk probabilistic algorithms are presented for white matter fibre tracking using diffusion MR images. We examine how fibre tracts can be modelled globally by means of random-walk algorithms which capture the uncertainties in local fibre orientations due to noise and partial volume effects.