Abstract #3530

A Fully-Automatic Method to Segment Choroid Plexus in Multiple Sclerosis Using Conventional MRI Sequences

Loredana Storelli¹, Elisabetta Pagani¹, Martina Rubin^1,2, Monica Margoni^1,2, Maria Assunta Rocca^1,2,3, and Massimo Filippi^1,2,3,4,5

¹Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy, ²Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy, ³Vita-Salute San Raffaele University, Milan, Italy, ⁴Neurorehabilitation Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy, ⁵Neurophysiology Service, IRCCS San Raffaele Scientific Institute, Milan, Italy

Synopsis

Keywords: Multiple Sclerosis, NeuroinflammationChoroid plexus (CP) is a structure of the brain ventricular system that demonstrated an involvement in the inflammatory process of patients with multiple sclerosis (MS). However, its role in the pathophysiology of the disease needs to be further explored but its manual delineation on MRI is time-consuming. In this study, we developed a fully-automatic method to segment CP using 3DT1-weighted and FLAIR MRI sequences. The algorithm proved to be accurate, easy to implement and do not require an initial training phase on huge amount of data, being generalizable and a fast tool to potentially be included in a clinical setting.

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