A method to reconstruct images from multiple EPI segments in presented. Leveraging the reconstruction framework from Dual-Polarity GRAPPA, data from each segment and readout polarity are modeled as sampled on separate grids. After phase-matching calibration data to each segment, a GRAPPA-like reconstruction kernel is generated. This parameterization ensures that differences in signal phase across all data polarities and segments can be captured in the reconstruction kernel. We present in-vivo images reconstructed using this approach from concurrently segmented and accelerated high-resolution gradient-echo and spin-echo data acquired at 7T.
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