Abstract #1646
Image entropy-based phase correction for closely-spaced slices in simultaneous multi-slice imaging
Angus Z. Lau 1,2 , Elizabeth M. Tunnicliffe 1 , Damian J. Tyler 1,2 , and Matthew D. Robson 1
1
Department of Cardiovascular Medicine,
University of Oxford, Oxford, United Kingdom,
2
Department
of Physiology, Anatomy, and Genetics, University of
Oxford, Oxford, United Kingdom
Blipped CAIPI acquisitions reduce g-factor noise
amplification in simultaneous multi-slice (SMS)
experiments by introducing inter-slice image shifts
using through-plane phase encoding gradients during the
image readout. For closely-spaced slices, large Gz blips
result in N-fold image ghosts (where N is the SMS
factor), which overlap with the desired multlband
aliasing pattern. In this abstract, we introduce a
simple deconvolution model and novel image entropy-based
approach to correcting phase errors in a SMS scan. The
method does not require an additional reference scan,
and we anticipate that this development will enable SMS
accelerated scans of the heart with closely spaced
slices.
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