1. A method of diffusion tensor magnetic resonance imaging comprising: a) collecting a static and a plurality of differently diffusion weighted magnetic resonance image data sets, each data set representing the same spatial region within a subject; b) repeating the collecting step a) to generate a plurality of static data sets and a plurality of diffusion weighted data sets corresponding to each diffusion weighting; c) reconstructing the data sets into image representations; d) adjusting the image representations for better spatial conformity; e) rejecting static image representations that fail to exhibit a pre-determined similarity to other static images; f) rejecting diffusion weighted image representations that fail to exhibit a predetermined similarity to other diffusion weighted images of like diffusion weighting; g) combining remaining static images and like diffusion weighted image representations; h) in at least a region of interest of the remaining images, calculating apparent diffusion coefficient tensors for each voxel of the region of interest; i) extracting eigenvalues and eigenvectors from the diffusion coefficient tensors; j) tracking an anisotropic structure with the eigenvalues and the eigenvectors; k) generating a human readable display of the tracked anisotropic structure.