Abstract #3294

Feasibility of NODDI for the characterization of multiple sclerosis clinical features

Agnese Tamanti¹, Anna Isabella Pisani¹, Alberto De Luca², Francesca Benedetta Pizzini³, Marco Castellaro⁴, Carmela Zuco¹, Damiano Marastoni¹, Francesco Crescenzo¹, Alessandra Bertoldo^4,5, Marco Pitteri¹, Roberta Magliozzi^1,6, and Massimiliano Calabrese¹

¹Department of Neurosciences, Biomedicine and Movement sciences, University of Verona, Verona, Italy, ²University Medical Center, Image Sciences Institute, Utrecht, Netherlands, ³Neuroradiology Unit, Department of Diagnostics and Pathology, Verona University Hospital, Verona, Italy, ⁴Padova Neuroscience Center, University of Padua, Padova, Italy, ⁵Department of Information Engineering, University of Padua, Padova, Italy, ⁶Division of Brain Sciences, Faculty of Medicine, Imperial College London Hammersmith Hospital, London, United Kingdom

Neurite Orientation Dispersion and Density Imaging (NODDI) is a diffusion weighted MRI technique introduced to asses neuronal microstructure. NODDI is used to retrieve indexes such as neurite density and fibers orientation dispersion that might be useful to assess neuronal damage and demyelination in multiple sclerosis (MS) MRI images. For this reason, we investigate its ability to differentiate to different MS phenotypes and clinical features in white matter and in multiple areas of the grey matter.

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