Diffusion-relaxation correlation spectrum imaging (DR-CSI) can map prostate microstructure in both ex vivo and in vivo imaging. However, the translation of prostate DR-CSI to in vivo applications faces technical challenges regarding trade-offs between scan time and accuracy. The goal of this study was to develop a data-driven systematic framework to evaluate and select subsampled DR-CSI echo time and b-values encoding schemes that reduce scan time while maintaining accuracy of estimated prostate microstructure parameters.
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