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Abstract #3555

Mask-Based Motion and Eddy-Current Correction of High B-Value Diffusion-Weighted Images

David Raffelt1, 2, J-Donald Tournier1, 3, Olivier Salvado2, Alan Connelly1, 3

1Brain Research Institute, Florey Neuroscience Institutes, Melbourne, VIC, Australia; 2The Australian E-Health Research Centre, CSIRO, Brisbane, QLD, Australia; 3Department of Medicine, University of Melbourne, Melbourne, VIC, Australia

Tractography and voxel-based analysis of diffusion-weighted images (DWI) benefit from higher-order models that require the acquisition of a large number of diffusion orientations at high b-values. The associated long scan times increase the likelihood of subject motion. Furthermore, high b-value DWI is also more prone to eddy-current induced distortions. Existing methods to correct motion and eddy-current artefacts are inadequate due to the poor SNR associated with high b-values. We present a robust method to correct motion and eddy-current artefacts in high b-value data. Validation experiments demonstrate that the proposed method can accurately correct b=3000s/mm 2 data with typical noise levels.