Keywords: Simulation/Validation, Diffusion Modeling, biomarkers,volume fraction, spherical mean technique
Motivation: The spherical mean technique (SMT) is a multi-compartmental diffusion model that has been used to evaluate axonal loss in the brain. This method holds promise as a biomarker of peripheral nerve regeneration following injury and surgical repair but has yet to be validated.
Goal(s): This study aims to validate the use of the multi-compartmental diffusion MRI in peripheral nerve imaging.
Approach: The SMT technique was validated via computational modeling studies based on light microscopy data of rats' sciatic nerves.
Results: We found that the SMT specifically assays axonal regeneration after trauma, even in the presence of other potentially confounding features.
Impact: The spherical mean technique (SMT), a multi-compartmental diffusion MRI model, demonstrated potential as a biomarker of peripheral nerve regeneration following injury and surgical repair.
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