Diffusion modeling in brain cell geometries parameterized according to morphometric statistics

An original diffusion modeling approach is proposed to capture some features of brain cells complexity and heterogeneity, while parameterizing the model with only a small set of parameters based on cell morphometric statistics as derived from microscopy. We exemplify how this approach allows evaluating the effect of long-range cell morphology (i.e. cellular processes branching and length) on the apparent diffusion coefficient (ADC) of intracellular molecules, as might be measured by diffusion-weighted MRI/spectroscopy at long diffusion times Td.

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