FIGURE 11.

Comparison of T_1ρ maps estimated from VN and different compressed sensing reconstruction schemes. The advantages of VN over compressed sensing include faster image reconstruction and lower reconstruction error at acceleration factors R = 2–6. VN performed better than compressed sensing with lower error and bias in cartilage T_1ρ quantification under most of the acceleration factors. CS-SFD, compressed sensing using sparsity regularization on spatial finite differences; CS-STFD, compressed sensing using sparsity regularization on spatiotemporal finite differences; MNAD, median of normalized absolute deviation. (Image courtesy of Marcelo V. W. Zibetti, PhD)