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Lin W et al. – The technique of generalized autocalibrating partially parallel acquisition is further developed to correct for a fully sampled, motion–corrupted dataset. The flexibility of generalized autocalibrating partially parallel acquisition kernels is exploited by extrapolating readout lines to fill in missing pie slices of k–space caused by rotational motion and regenerating full k–space data from multiple interleaved datasets, facilitating subsequent rigid–body motion correction or proper weighting of inconsistent data.


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