When investigating white matter (WM), its complex microstructure should be considered. Neurite Orientation Dispersion and Density Imaging (NODDI) and the constrained spherical deconvolution (CSD) are diffusion weighted imaging models that account for this complexity, compared to the commonly used MRI techniques. In this study, we applied volumetric, diffusion tensor, NODDI and CSD models to 86 patients with multiple sclerosis and 55 healthy controls at baseline and after 1-year of follow-up. The comparison of these techniques both globally and voxel-based showed that the CSD model was able to identify WM atrophy offering greater anatomical specificity and biological interpretability.
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