  This article introduces a new methodology for reconstructing the white matter
fiber pathways of brain in diffusion MRI. Usually, the signal intensity values
will be lesser in the direction of higher diffusivity. The proposed approach
picks the diffusion sensitivity gradient directions (dSGD), where the signal
intensities are diminutive. Considering these as the directions of maximum
diffusivity, we generate directions uniformly distributed around the picked
dSGD. These newly computed uniformly spaced directions are considered gradient
directions used in the reconstruction process. The state-of-art schemes like
uniform gradient direction (UGD) have redundancy in the gradient direction, and
adaptive gradient direction (AGD) has a constraint of solving linear system
twice per voxel. These two limitations are turned down in this study
simultaneously. Estimating gradient directions with the proposed scheme is
employed in the multi-compartmental mixture models for calculating the fiber
orientations. Simulation and experiments on the real data evaluate the
feasibility of the proposed method.
