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Abstract #3407

Validation of an image-based measurement of gradient non-linearity method and voxel-wise correction of b-values in a HARDI dataset

Yoojin Lee1,2, Adam Kettinger3,4, Bertram Wilm2, Ralf Deichmann5, Nikolaus Weiskopf6, Christian Lambert7, Klaas Pruessmann2, and Zoltan Nagy1

1Laboratory for Social and Neural Systems Research, University of Zürich, Zürich, Switzerland, 2Institute for Biomedical Engineering, ETH Zürich, Zürich, Switzerland, 3Brain Imaging Centre, Research Centre for Natural Sciences, Hungarian Academy of Sciences, Budapest, Hungary, 4Department of Nuclear Techniques, Budapest University of Technology and Economics, Budapest, Hungary, 5Brain Imaging Centre, Goethe University Frankfurt, Frankfurt, Germany, 6Department of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany, 7Wellcome Centre for Human Neuroimaging, UCL Queen Square Institute of Neurology, London, United Kingdom

Diffusion MRI requires numerous corrective steps in the data processing pipeline. One such step regards the need for voxel-wise correction of erroneous b-values that ensue from the inherent non-linearity of the magnetic field gradients. To estimate the non-linearity we used a simple image-based method that involves a spherical water phantom to measure voxel-wise the apparent diffusion constant. Deviations from the expected value allow estimation of the local b-value. The b-value maps were validated against the spherical harmonic predictions and subsequently used to correct phantom and in-vivo data.

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