We propose a novel rapid dynamic speech MRI scheme that leverages multi-coil acquisitions from a dedicated 16 channel airway coil, variable density spirals, and manifold regularization. The variable density spirals enables self-navigation to extract the Laplacian manifold matrix from low spatial but high temporal resolution data. Our scheme allows for efficient exploitation of similarities between image frames that are distant in time without the need of explicit binning. We demonstrate robust reconstructions on free running speech data containing complex spatio-temporal dynamics at a temporal resolution of 15 ms/frame.
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