We studied the effect of encoding imperfections due to gradient errors with a focus on their interaction with $$$B_0$$$ inhomogeneities. Using a simulation framework, we retrospectively sampled data using k-space trajectories of two fast imaging sequences and compared reconstructions based on nominal, gradient impulse response (GIRF) predicted and measured (ground-truth) trajectories for spiral and readout-segmented EPI sequences. We found that the detrimental impact of trajectory imperfections on image quality is strongly amplified by $$$B_0$$$ inhomogeneities, especially for non-Cartesian trajectories. Furthermore, we confirmed that GIRF-predicted trajectory based reconstructions (requiring only a one-time calibration) allow effective artifact reduction.
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