Echo planar imaging data are often corrupted by Nyquist ghost artifacts resulting from the eddy current induced shifts between the odd & even phase encodes. Current EPI methods often rely on calibration scans that are collected prior to the data acquisition to correct for Nyquist ghosts. Unfortunately, this approach is often insufficient for the recovery of diffusion-weighted (DW) data, since the ghosting artifacts also depend on the segmentation of the EPI read-outs and diffusion weighting. We introduce a comprehensive algorithm to simultaneously correct for the eddy-current errors as well as the motion-induced artifacts in DW images that does not require any calibration scans.
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