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Abstract #3398

Effects of Gradient Nonlinearities on Reproducibility and Accuracy of Diffusion MRI Metrics in the Brain.

M. Okan Irfanoglu1, Alan Seth Barnett1, Neda Sadeghi1, and Carlo Pierpaoli1

1Quantitative Medical Imaging/NIBIB, National Institutes of Health, Bethesda, MD, United States

Gradient nonlinearities in MRI cause spatially-varying b-values and diffusion gradient directions. In this work, we analyze whether these nonlinearities have a significant impact on data reproducibility and accuracy for brain studies. Our results indicate that not only FA and TR values have an increasing bias away from the isocenter of the magnet, but also differences in subject positioning and head orientation combined with nonlinearities have a significant effect on reproducibility. The effects were also observed in principal eigenvector directions computed with the tensor model.

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