Estimation of Intravoxel Incoherent Motion (IVIM) parameter maps from a set of diffusion-weighted (DW) images acquired at multiple b-values usually suffers from low SNR, which may increase the variance of the estimated maps. Unfortunately, there is no consensus on the optimal b-values to maximize the noise performance of IVIM parameters. In this work, we determine the optimal b-values to maximize the performance of IVIM parameter mapping by using a Cramér-Rao Lower Bound approach under realistic noise assumptions. The reduction of the estimation variance on the IVIM parameters compared to state-of-the-art b-values suggests the utility of this approach to optimize DW-MRI.
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