Figure 8.
Simulation results showing the effect of pseudo-randomization of O-space CPs at R=16 which is an acquisition data set of 16×512 and 8 receiver channels. SENSE is not shown as the reconstruction fails due to noise amplification at R=16. Without an ℓ1 convex reconstruction, the O-space has degradation at high acceleration. With the convex optimization, features are sharper. For the difference images using the ℓ1 reconstruction, pseudo-random CPs improved on O-space (MSE = 32.06 vs. 41.31 respectively).