Optimal-mass-transfer-based estimation of glymphatic transport in living brain.

摘要: It was recently shown that the brain-wide cerebrospinal fluid (CSF) and interstitial exchange system designated ‘glymphatic pathway’ plays a key role in removing waste products from brain, similarly to lymphatic other body organs . is therefore important study flow patterns of glymphatic transport through live brain order better understand its functionality normal pathological states. Unlike blood, CSF does not rapidly network dedicated vessels, but rather para-vascular channels parenchyma slower time-domain, thus conventional fMRI or blood-flow sensitive MRI sequences do provide much useful information about desired patterns. We have accordingly analyzed series images, taken at different times, rat, which injected with paramagnetic tracer into via lumbar intrathecal space spine. Our goal twofold: (a) find (tracer) directions rodent brain; (b) model (healthy) will allow prediction concentrations given initial conditions. liquid by diffusion equation. then use Optimal Mass Transfer (OMT) approach derive vector field, estimate tensors analyzing (changes the) flow. Simulations show resulting successfully reproduces dominant features experimental data. Keywords: inverse problem, optimal mass transport, equation, optical flow, modeling, Monge Kantorovich tensor estimation