Missing point estimation has been a part of Fourier Transform NMR and MRI since the beginning. FID based imaging sequences, such as the ZTE (zero echo time) sequence, are missing needed data points corresponding to the region around the center of K-space. In multi-channel ZTE acquisitions, this estimate must be made for each channel. Missing data can be estimated by separate reference scans (WASPI and PETRA) but require extra time. In dynamic acquisitions missing points are optimally estimated from the data itself. Here we investigate applying a method borrowed from solid state NMR to estimate the missing points.
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