Although the biasing of R* 2 estimates by assuming magnitude MR data to be normally distributed has been described, the effect on changes in R* 2 (DR* 2 ), such as induced by a paramagnetic contrast agent, has not been reported. In this study, two versions of a novel Bayesian maximum a posteriori approach for estimating DR* 2 are described and evaluated: one that assumes normally distributed data and the other, Rice-distributed data. The approach enables the robust, voxelwise determination of the uncertainty in DR* 2 estimates and provides a useful statistical framework for quantifying the probability that a pixel has been significantly enhanced. This technique was evaluated in vivo, using ultrasmall superparamagnetic iron oxide particles in orthotopic murine prostate tumors. It is shown that assuming magnitude data to be normally distributed causes DR* 2 to be underestimated when signal-to-noise ratio is modest. However, the biasing effect is less than is found in R* 2 estimates, implying that the simplifying assumption of normally distributed noise is more justifiable when evaluating DR* 2 compared with when evaluating precontrast R* 2 values. Magn Reson Med 64:914-921,