Accounting for Changes in Signal Variance in Diffusion Weighted Images Following Interpolation for Motion & Distortion Correction

Mustafa Okan Irfanoglu¹, Lindsay Walker², Raghu Machiraju, Carlo Pierpaoli²

In this work, we propose a novel technique to account for changes in signal variance in diffusion weighted images due to interpolation artifacts related to image registration based motion and distortion correction steps. Our technique can model signal variance changes due to sequential transformation applications and can cope with all types of interpolation kernels. We show our results as improvements in Chi-squared maps of tensor fitting.