Quantitative Analysis of Directional Bias Imposed on Primary Eigenvector Estimations in DTI When Gradient Table Correction Is Neglected

Keywords

accumulate acquisition adjustments affine although amount analyze applying around asymmetric audience axial azimuth background best bias biased biophysics blue board broad caused characterizes children clearly coherently college color convention corrected correction corrections curvature deformations degrees described development deviate diffusion directional dispersion distributed distribution diverting dots eigenvalue eigenvector ensure estimation estimations evident experimental fiber findings foreground fractional functions general generally generated geometric gradient head histograms illustrate illustrated imposed induced inherent inside instance institutional investigated larger lead magnitude major maps medical might minutes model models motion much neglected neurosurgery noise normalized noted ongoing orientation orthogonal otherwise outer package parents partial particular percentage plot preserving primary program pulse purely qualitatively quantify quantitative random remaining reorientation reoriented review selected sense simplified simulations since slices smaller software spatial sphere step studied subject subjects subsequent suggested surface symmetrically system table target tensor tensors though tracking tract tracts trajectory transformations uncertainty uncorrected understand unit validated vector vectors zenith