Figure 2: One exemplary slice from the human scan is shown. Each row displays one b-value. In the first column a reconstruction without phase correction is shown, leading to strong ghosting in the diffusion weighted scans. The second column shows the GRAPPA reconstruction. The third column displays the ASeDiWA reconstruction. Both parallel imaging reconstruction methods correct the ghosting seen in the first column. However, ASeDiWA consistently provides higher SNR as the GRAPPA reconstruction.

Figure 3: Reconstruction results (b/w) and g-factor simulations (color) are shown. Each row displays data with a different number of simulated segments (2, 3, and 4). The first column shows the data reconstructed with GRAPPA. The following three columns show results from ASeDiWA without and with one and two iterations, respectively. In general, higher segmentation leads to higher g-factors. Independent of the segmentation, the comparison of ASeDiWA with GRAPPA shows a reduced g-factor. Further improvement can be achieved by iteration of the algorithm (ASeDiWA₁ and ASeDiWA₂).