Segmented 3D EPI yields higher SNR compared to conventional 2D EPI but is highly sensitive to shot-to-shot B0 variations, which result in image artifacts and compromise the achievable tSNR. In this work, we use FIDnavs combined with an augmented reconstruction strategy to compensate for the adverse effects of spatiotemporal field variations in 3D EPI. We demonstrate that FIDnavs can rapidly and accurately estimate B0 field changes up to second order in three dimensions and that FID-navigated augmented reconstruction results in improved 3D EPI image quality and temporal stability of the BOLD signal time course.
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