Perivascular space (PVS), also known as Virchow-Robin space, is a pial-lined, fluid-filled structure that surrounds vessels in the cerebral cortex [1], [2], and occupies a large portion of the cerebral tissue. While PVS mapping becomes more clinically relevant, separation of PVS from white matter hyperintensities (WMH) make it challenging to map PVS on clinical data. Here we present a semi-supervised multi-modal approach to extract both PVS and WMH using T1w and FLAIR image modalities automatically. We also evaluated multi-site, multi-vendor reliability of the technique.
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