While several multi-compartment models of diffusion have been developed to describe the healthy neural tissue, most of these models fail in the presence of tumours, because they are unable to capture their heterogeneity. By contrast, models of diffusion able to quantify histologic features of colorectal and prostate tumors in vivo have been proposed. Here we combine the sensitivity of these models to tumour histology and the ability of multi-compartment models of dMRI in the brain to describe the complexity of the neural tissue.
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