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Abstract #3521

Quantitative assessment of susceptibility artefact correction techniques for diffusion-weighted MRI

Mark S Graham1, Ivana Drobnjak1, and Hui Zhang1

1Centre for Medical Image Computing and Department of Computer Science, University College London, London, United Kingdom

It is necessary to correct for susceptibility artefacts in DW-MR, but there are a number of available strategies to choose from. In this work we apply a simulation framework, previously used to assess motion and eddy current correction strategies, to quantitatively evaluate methods for susceptibility correction. Our results indicate that methods that use reversed phase-encoding data perform the best. Furthermore they show that non-linear registration of diffusion data to a structural target in insufficient to fully correct for the susceptibility artefact.

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