Neidlin Michael, Büsen Martin, Brockmann Carolin, Wiesmann Martin, Sonntag Simon J, Steinseifer Ulrich, Kaufmann Tim A S
Institute of Applied Medical Engineering, Helmholtz Institute, RWTH Aachen University, Aachen, Germany.
Clinic for Diagnostic and Interventional Neuroradiology, RWTH Aachen University Clinic, Aachen, Germany.
Int J Numer Method Biomed Eng. 2016 Apr;32(4):e02748. doi: 10.1002/cnm.2748. Epub 2015 Oct 22.
Ischemic stroke, caused by embolism of cerebral vessels, inflicts high morbidity and mortality. Endovascular aspiration of the blood clot is an interventional technique for the recanalization of the occluded arteries. However, the hemodynamics in the Circle of Willis (CoW) are not completely understood, which results in medical misjudgment and complications during surgeries. In this study we establish a multiscale description of cerebral hemodynamics during aspiration thrombectomy. First, the CoW is modeled as a 1D pipe network on the basis of computed tomography angiography (CTA) scans. Afterwards, a vascular occlusion is placed in the middle cerebral artery and the relevant section of the CoW is transferred to a 3D computational fluid dynamic (CFD) domain. A suction catheter in different positions is included in the CFD simulations. The boundary conditions of the 3D domain are taken from the 1D domain to ensure system coupling. A Eulerian-Eulerian multiphase simulation describes the process of thrombus aspiration. The physiological blood flow in the 1D and 3D domains is validated with literature data. Further on, it is proved that domain reduction and pressure coupling at the boundaries are an appropriate method to reduce computational costs. Future work will apply the developed framework to various clinical questions.
由脑血管栓塞引起的缺血性中风具有很高的发病率和死亡率。血管内血栓抽吸是一种用于使闭塞动脉再通的介入技术。然而, Willis 环(CoW)的血流动力学尚未完全明确,这导致手术过程中出现医疗误判和并发症。在本研究中,我们建立了抽吸血栓切除术期间脑血流动力学的多尺度描述。首先,基于计算机断层扫描血管造影(CTA)扫描将CoW建模为一维管网。之后,在大脑中动脉放置血管闭塞,并将CoW的相关部分转移到三维计算流体动力学(CFD)域。CFD模拟中包括处于不同位置的抽吸导管。三维域的边界条件取自一维域以确保系统耦合。欧拉-欧拉多相模拟描述了血栓抽吸过程。一维和三维域中的生理血流通过文献数据进行了验证。此外,证明了域缩减和边界处的压力耦合是降低计算成本的合适方法。未来的工作将把所开发的框架应用于各种临床问题。