Based on the idea that water diffuses preferably along the axonal trajectories, diffusion-weighted MRI can be used to map the neural connections between different regions of the human body. Although most methods developed to map anatomical connections employ data at low-b values, there has been recent interest to extend the acquisition scheme to larger diffusion weightings to increase the accuracy and reliability of the connectivity information [1, 2]. Development of new analytical and algorithmic approaches based on single-shell high angular resolution diffusion imaging (HARDI) acquisitions has resulted in significant improvements in the quality of the reconstructed fiber orientation maps in recent years. In this study, we present a new method that maps the orientational preference of water diffusion from data acquired at several shells in q-space.