Tensor-valued diffusion encoding can be used to separate effects of microscopic anisotropy, orientation dispersion, and isotropic kurtosis. The aim of this work was to determine the impact of encoding tensor shapes and sizes (b-values) on the estimated model parameters using in-vivo data and simulated signals from several microdiffusion environments. We found that some signal sampling protocol had a relevant impact on the estimated diffusion parameters and may negatively impact the parameter reproducibility. This demonstrates the need for a standardization of sampling schemes to facilitate study comparisons, data pooling, and meta analysis.
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