A Dynamic 2D TSE Acquisition Strategy for Robust SAMER Motion Mitigation

Retrospective motion correction for 2D TSE/FSE is challenging due to interpolation through slices with gaps, interleaved slice orderings, and spin history effects. Optimized Cartesian sampling trajectories provide decreased motion sensitivity in specific situations but can also exacerbate motion sensitivity under typical patient motion. In this work, we introduce a dynamic acquisition strategy that determines the k-space lines acquired in the next shot based on the prior patient motion. Specifically, each TR dynamically encodes available lines which minimize motion variance. We show that this dynamic acquisition strategy results in improved reconstruction robustness under typical clinical motion scenarios.