Keywords: Multiple Sclerosis, Multiple Sclerosis
Motivation: The Standard Model Imaging (SMI) technique, based on diffusion magnetic resonance imaging (MRI), introduces a novel approach for detecting microstructural features of white matter (WM).
Goal(s): This study aims to implement SMI to characterize WM injury in people with MS (PwMS) brains and investigate its clinical feasibility
Approach: Four different types of brain tissues in PwMS were manually outlined, representing different levels of tissue injury. The SMI-derived microstructural metrics were compared among different tissue types.
Results: SMI-derived axonal fraction f and extra-axonal perpendicular $$$D_e^\perp$$$ not only distinguish MS lesions from normal appearing WM (NAWM) but also differentiate MS lesions with different severity.
Impact: SMI-derived metrics are sensitive to pathological changes in MS lesions and show promise for clinical applications in MS.
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