Weronika Mazur-Rosmus

Tensor-derived diffusion MRI metrics and NODDI in multiple sclerosis classification

Background Multi-compartment diffusion models and multi-shell acquisitions are increasingly used to overcome limitations of conventional diffusion tensor imaging, but require longer scans and more complex processing. Meanwhile, diffusion MRI classification studies often rely on a narrow set of tensor-derived metrics, e...