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Abstract #3215

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

Ali Ersoz1, Volkan Emre Arpinar2, L. Tugan Muftuler2, 3

1Department of Biophysics, Medical College of Wisconsin, Milwaukee, WI, United States; 2Department of Neurosurgery, Medical College of Wisconsin, Milwaukee, WI, United States; 3Center for Imaging Research, Medical College of Wisconsin, Milwaukee, WI, United States


We conducted a quantitative analysis of directional bias imposed on primary eigenvector (PE) estimations in DTI when gradient table is not reoriented after motion correction. We compared this bias with the inherent uncertainty in the estimation of orientation distribution functions. We found that 90% percent of the voxels in cingulum and CST tracts had substantially smaller directional adjustments on the PE than the uncertainty in their estimations. We also demonstrated that this directional bias might accumulate along the fiber tract and lead to inaccurate fiber tracking. The findings were validated using simulations.

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