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Abstract #1634

EPI distortion correction using highly under-sampled point-spread function estimation based on Finite Rate of Innovation

Rita G. Nunes 1,2 and Joseph V. Hajnal 2,3

1 Institute of Biophysics and Biomedical Engineering, Faculty of Sciences, University of Lisbon, Lisbon, Portugal, 2 Division of Imaging Sciences and Biomedical Engineering, King's College London, London, United Kingdom, 3 Centre for the Developing Brain, King's College London, London, United Kingdom

With the drive to higher B0 magnetic fields, geometric distortion correction of Echo Planar Images (EPI) becomes essential. Point Spread Function (PSF) mapping has been shown to be more robust than B0 field mapping, however previous attempts to accelerate acquisition, still required a minimum of 10 EPI repeats. We demonstrate that by using a pattern search approach it is possible to estimate the peak of the PSF at each voxel from as little as 2 EPI repeats, one of which is the EPI image itself. This would enable estimation of distortion maps to be incorporated in standard EPI preparation phases.

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