Mobile-GRAPPA trains local GRAPPA operators with an MLP to clean motion- and dB0-corrupted k-space so that standard SENSE can reconstruct high-quality images from long, motion-prone scans in minutes rather than hours or days.
Scout-based Multi-Echo NAvigating (SMENA) for high temporal resolution motion and B0 estimation: applications to EPTI and multi-echo GRE[J]
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Fast Reconstruction of Motion-Corrupted Data with Mobile-GRAPPA: Motion and dB0 Inhomogeneity Correction Leveraging Efficient GRAPPA
Mobile-GRAPPA trains local GRAPPA operators with an MLP to clean motion- and dB0-corrupted k-space so that standard SENSE can reconstruct high-quality images from long, motion-prone scans in minutes rather than hours or days.