DTI white matter fiber tractography using bayesian framework

Abstract

Diffusion tensor-MRI (DTI) White matter fiber tracking traces white matter fibber bundle and its image according to the diffusion of water molecular in the white matter. This paper uses structure information of fiber bundle and DTI information in current voxel to estimate the probability density function of the tracking direction to the next voxel. This algorithm is under the framework of Bayesian decision and uses weighted sampling to get the tracking result. Stochastic three dimension image of topologic and spatial information of white matter fiber bundle was demonstrated through multiply tracking and was applicant in real DTI data.