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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