Figure 1.
Reconstruction pipeline. Data is first pre-whitened to ensure unit noise variance and that noise is uncorrelated between receive channels. Any readout oversampling is also removed from the data. Calibration data is processed to calculate unmixing coefficients and the remaining data is Fourier transformed to image space where the channel images are combined using the unmixing coefficients. In a parallel pipeline, noise with unit variances is repeatedly added to the raw data and pseudo replicas are reconstructed.