Keywords: Motion Correction, Data Acquisition
Motivation: Prospective motion correction can correct motion-induced sampling errors in real time but is still sensitive to large motion due to position based non-linear phase differences.
Goal(s): We aim to increase motion robustness of 3D sequences.
Approach: By combining prospective motion correction with radial sampling, non-linear phase errors can be mitigated due to repeated sampling of the k-space center.
Results: We show that prospective motion correction alone is enough for subtle motion but during severe motion (rotations well above ±5°) radial sampling can outperform Cartesian sampling.
Impact: Radial sampling in combination with prospective motion correction allows for imaging during severe motion corruption. This is crucial in imaging e.g. paediatric populations.
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