An acute ischaemic stroke is due to the sudden blockage of an intracranial blood vessel by an embolized thrombus. In the context of setting up in silico trials for the treatment of acute ischaemic stroke, the effect of a stroke on perfusion and metabolism of brain tissue should be modelled to predict final infarcted brain tissue. This requires coupling of blood flow and tissue perfusion models. A one-dimensional intracranial blood flow model and a method to couple this to a brain tissue perfusion model for patient-specific simulations is presented. Image-based patient-specific data on the anatomy of the circle of Willis are combined with literature data and models for vessel anatomy not visible in the images, to create an extended model for each patient from the larger vessels down to the pial surface. The coupling between arterial blood flow and tissue perfusion occurs at the pial surface through the estimation of perfusion territories. The coupling method is able to accurately estimate perfusion territories. Finally, we argue that blood flow can be approximated as steady-state flow at the interface between arterial blood flow and tissue perfusion to reduce the cost of organ-scale simulations.

急性缺血性中风是由于颅内血管突然被栓塞的血栓堵塞所致。在建立治疗急性缺血性中风的计算机模拟试验的背景下，应该对中风对脑组织灌注和代谢的影响进行建模，以预测最终梗塞的脑组织。这需要血流和组织灌注模型的耦合。提出了一种一维颅内血流模型以及将其与脑组织灌注模型耦合以进行患者特异性模拟的方法。威利斯环解剖结构上基于图像的患者特定数据与图像中不可见的血管解剖结构的文献数据和模型相结合，为每个患者创建从较大血管到软脑膜表面的扩展模型。通过估计灌注区域，动脉血流和组织灌注之间的耦合发生在软脑膜表面。耦合方法能够准确估计灌注区域。最后，我们认为血流可以近似为动脉血流和组织灌注之间界面的稳态流动，以降低器官规模模拟的成本。