Keywords: Microstructure, Microstructure
Motivation: New biophysical models of gray matter microstructure have been introduced, with a particular focus on exchange time and soma size estimations. However, the fitting quality of these models has not been studied.
Goal(s): Our goal is to study the feasibility of estimating both exchange time and soma size in a clinical setting.
Approach: We applied µGUIDE, a Bayesian inference framework, to quantify the quality of the fitting of two models from the literature, NEXI and SANDIX, using an extensive protocol, and a clinical one.
Results: Estimations of both exchange time and soma size in clinical setting shows high uncertainty.
Impact: For the first time, we are using µGUiDE on two microstructure models that take into account the exchange between neurites and the extra-cellular space. We applied it to both synthetic and clinical data.
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