Keywords: Artifacts, Artifacts
Motivation: EPI suffers from field-inhomogeneity distortions. Employing large inplane acceleration (Rinplane) can mitigate this issue at a cost of increase noise and artifacts, while postprocessing correction can lead to resolution-loss.
Goal(s): Develop a reconstruction method based on an ensemble of k-t GRAPPA-kernels (EnKT-GRAPPA) for use on moderately-accelerated EPI, to both fill missing-kspace and reduce distortion.
Approach: EnKT-GRAPPA kernels are trained using k-t calibration data to fill missing-kspace and correct for cumulative-phase of field-inhomogeneity in one step, where phase/distortion correction level can be flexibly tuned.
Results: For the same distortion mitigation level, EnKT-GRAPPA-reconstructed-images exhibit higher-SNR compared to those from conventional GRAPPA-reconstructed-images of a higher-Rinplane acquisition.
Impact: EnKT-GRAPPA enables moderately accelerated EPI to achieve a high level of distortion mitigation while preserving SNR. This method should be useful in many applications such as fMRI, diffusion and perfusion imaging.
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