Résumé:
In this work, we implemented an approach model based on magnetic resonance imaging acquisitions combined with digital methods, the aim being to provide to the physician a tool to help in the reliable diagnosis of neuro-vascular pathologies through the study of cerebral vasoreactivity to circulating gases and cerebrovascular hemodynamic parameters. The blood flow modelling in the cerebrovascular network using the Computational Fluid Dynamics method, has made it possible to extract the hemodynamic factors that make it possible to map and quantify, noninvasively, the cerebral blood flow in an effective way reproducible. We developed a non-invasive MRI acquisition protocol that allowed us to visualize the cerebrovascular tree, then simulated, using the COMSOL Multiphysics software, under certain mechanical input and output conditions into this vascular tree, the variations of the main cerebral hemodynamic parameters. The obtained results show the reliability and the effectiveness of our protocol in the study of the different phenomena caused by the blood flow in the healthy cerebral vessels or presenting pathologies.
