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 Lee^1,2, Adam Kettinger^3,4, 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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