Figure 4.

Comparison of IRGN-TV to TV filtering of conventional IRGN reconstructions for pseudorandom subsampling with R = 6 (top, same data as Fig. 2) and accelerated in-vivo imaging with R = 4 (bottom). For TV filtering, optimal regularization parameters were identified by visual inspection: ${\beta }_1^{\ast }=5\cdot {10}^{-3}$ (left, for T2 weighted TSE data) and ${\beta }_2^{\ast }=1.5\cdot {10}^{-2}$ (middle, for FLASH data). Both results for IRGN-TV (right) were obtained using the same parameter set, esp. β_min = 0.