Keywords: Microstructure, Microstructure, Signal Representations, Prostate, Cancer
Motivation: Restricted diffusion effects in tensor-valued encoding can lead to parameter error due to diffusion time-dependence.
Goal(s): Accurate interpretation of diffusion process by joint quantification of restricted diffusion, microscopic diffusional variance/anisotropy, and their covariances.
Approach: We propose a novel diffusion encoding scheme and an extended signal representation to capture both Gaussian and restriction effects. We demonstrate the method in a human prostate cancer xenograft in vivo (mouse model).
Results: The analysis reveals prominent effects of restricted diffusion and time-dependence in all parameter maps, and the covariances terms were found to be non-negligible.
Impact: We propose an experimental design and analysis of tensor-valued diffusion encoding that incorporates effects of restricted diffusion. The results shed light on confounding effects of restricted diffusion in tensor-valued encoding experiments with mixed encoding frequencies.
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