Several mesoscopic multi-compartment diffusion MRI models have been developed to describe the complexity of water molecules diffusion in the brain by making assumptions. One frequently used model is Neurite Orientation Dispersion and Density Imaging (NODDI). Here, the aim is to propose a personalized-NODDI (pNODDI) by making NODDI assumptions subject-specific. Our findings show that NODDI assumptions impact on output metrics depending on brain region and that these metrics are able to discriminate between healthy and temporal lobe epilepsy subjects. pNODDI provides a mean to personalize a successful and clinically feasible model as NODDI, increasing metrics sensitivity to pathological alterations.
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