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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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