In undersampled radial phase-contrast imaging, Maxwell terms can vary for individual radial projections (spokes). Integrated into a model-based image reconstruction, a computationally expensive spoke-by-spoke correction has been proposed, for which the reconstruction times scale with the number of spokes per frame. To make this approach practical for large numbers of spokes, this work proposes to use k-means clustering of Maxwell terms in the spoke dimension and thereby reduce the computational costs of the model-based image reconstruction for phase-contrast MRI with radial Maxwell correction.
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