How to Make Sure You Are Using the Correct Gradient Orientations in Your Diffusion MRI Study

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accuracy achieved affect align allowing analytical angular approximated around ascent assessed audience axes becomes bias brain clearly clinical clinicians close clustered colored common computation confidence connectivity convenient conventions converged convergence coordinate correct correction decomposition defined degree derived detected developed diffusion diffusivity directly dispersion distributed dots eigenvalues enforced especially estimations evaluation evaluations even evenly fast fiber finally find finding fitting frame framework full function gain global gradient gradients implemented incorrect iterations length local maps meaningful measure measured measuring metric much must necessarily necessary noise noiseless noisy note optimal optimization orientation orientations overview plus poor post practice precision principal problem procedure processing prone properly proposed quality random randomly realization realizations reduce reducing registration repeated reports requiring robust rotating rotation rotationally rotations scanner search seed significantly simulated since space speed speeding start starting step stochastic streamline subject system table target tensor theory tightly tool trade trajectory transformation transforming true type unrealistically unsure vector whole