Figure 1

Left side: Simulated GRAPPA-accelerated image acquisitions for R=1,2,3,4,5,6. A numerical phantom, based on real image data, was used to predict the SNR, noise, and G-factor maps for both a conventional and an idealized 2D-T₂-Prep (pulse sequence diagrams upper right). Right side, middle: 50-scan average of a homebuilt phantom, with compartments doped to mimic fat, blood, and myocardium, using both the conventional and 2D-T₂-Preps. Bottom right: Mean SNR_multi improvement of the 2D-T₂-Prep over the conventional T₂-Prep, for various (mimicked) tissue ROIs, at different acceleration factors. The maximal improvement of the 2D-T₂-Prep occurs when the acceleration factor corresponds to the reduction of excited tissue in the phase encoding (i.e. accelerated) direction.