Predicting infarct volume is necessary to develop in silico trials for the treatment of acute ischaemic stroke. This requires modelling of blood flow across length scales incorporating three orders of magnitude, from the large arteries, to the arterioles, the pial surface vessels, to the penetrating vessels and the microcirculation.

Blood flow in large vessels are typically modelled using lumped parameter or 1-D blood flow models, whereas the microcirculation is typically modelled as a porous medium [1]. However, the patient-specific geometry of large vessels is known, the features of the microcirculation are captured statistically. Therefore, there is an information gap between the large vessels and the microcirculation. Here, we present a method to couple blood flow in large blood vessels to cerebral tissue perfusion. A tissue perfusion model is also being developed but is outside the scope of this abstract1. For more details and derivations of the models, see [1, 2].