Deep learning segmentation of peri-sinus structures from structural magnetic resonance imaging: validation and normative ranges across the adult lifespan

ConclusionsA tool that can be applied to quantify PSD and AG volumes from commonly acquiredT2-weighted MRI scans is reported and exemplar volumetric ranges of these structures are provided, which should provide an exemplar for studies of neurofluid circulation dysfunction. Software and training data are made freely available online (https://github.com/hettk/spesis).
Source: Fluids and Barriers of the CNS - Category: Neuroscience Source Type: research