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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 Bertoldo4,5, Marco Pitteri1, Roberta Magliozzi1,6, 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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