Diffusion-weighted imaging (DWI) has the potential to improve characterisation and detection of breast cancer. A variety of models are available to fit the relationship between MRI signal and b-value, but the repeatability of such models is often overlooked. In this study, we simulate repeated DWI scans and quantify the precision of IVIM parameters from segmented fitting for D and f; our findings suggest that repeatability of f is highly dependent on disproportionate noise at b=0, and repeatability for f and D can be maximised by redistribution of signal averages. Optimal acquisition strategies for varying values of inter-scan noise are reported.
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