Relative bias and dispersion of the estimates of fs, T2,s and T2,l obtained using Monte Carlo simulations for the biexponential signal model at SNR of 30 (left column) and 100 (middle column) using NLLSG, NLLSG,O, NLLSR, MAPG, MAPG,O and MAPR analysis methods for five different combinations of fs, T2,s and T2,l (right column). Decreased bias and dispersion, that is, improved accuracy and precision, were achieved through use of Rician noise model and Bayesian analysis as discussed in detail in the text.