Figure 2.
The transform point spread function workflow. A point in the wavelet domain (A) is expressed in the measurement domain, in this case the k-space domain (B). The k-space is pseudo-randomly under sampled with probability density function (C). The subsampled k-space is then transformed into the wavelet domain where the incoherence can be seen as noise-like off-peak energy in the transform point spread function.