Ford Matthew D, Nikolov Hristo N, Milner Jaques S, Lownie Stephen P, Demont Edwin M, Kalata Wojciech, Loth Francis, Holdsworth David W, Steinman David A
Imaging Research Laboratories, Robarts Research Institute, London, Canada N6A 5K8.
J Biomech Eng. 2008 Apr;130(2):021015. doi: 10.1115/1.2900724.
Computational fluid dynamics (CFD) modeling of nominally patient-specific cerebral aneurysms is increasingly being used as a research tool to further understand the development, prognosis, and treatment of brain aneurysms. We have previously developed virtual angiography to indirectly validate CFD-predicted gross flow dynamics against the routinely acquired digital subtraction angiograms. Toward a more direct validation, here we compare detailed, CFD-predicted velocity fields against those measured using particle imaging velocimetry (PIV). Two anatomically realistic flow-through phantoms, one a giant internal carotid artery (ICA) aneurysm and the other a basilar artery (BA) tip aneurysm, were constructed of a clear silicone elastomer. The phantoms were placed within a computer-controlled flow loop, programed with representative flow rate waveforms. PIV images were collected on several anterior-posterior (AP) and lateral (LAT) planes. CFD simulations were then carried out using a well-validated, in-house solver, based on micro-CT reconstructions of the geometries of the flow-through phantoms and inlet/outlet boundary conditions derived from flow rates measured during the PIV experiments. PIV and CFD results from the central AP plane of the ICA aneurysm showed a large stable vortex throughout the cardiac cycle. Complex vortex dynamics, captured by PIV and CFD, persisted throughout the cardiac cycle on the central LAT plane. Velocity vector fields showed good overall agreement. For the BA, aneurysm agreement was more compelling, with both PIV and CFD similarly resolving the dynamics of counter-rotating vortices on both AP and LAT planes. Despite the imposition of periodic flow boundary conditions for the CFD simulations, cycle-to-cycle fluctuations were evident in the BA aneurysm simulations, which agreed well, in terms of both amplitudes and spatial distributions, with cycle-to-cycle fluctuations measured by PIV in the same geometry. The overall good agreement between PIV and CFD suggests that CFD can reliably predict the details of the intra-aneurysmal flow dynamics observed in anatomically realistic in vitro models. Nevertheless, given the various modeling assumptions, this does not prove that they are mimicking the actual in vivo hemodynamics, and so validations against in vivo data are encouraged whenever possible.
对名义上特定于患者的脑动脉瘤进行计算流体动力学(CFD)建模越来越多地被用作一种研究工具,以进一步了解脑动脉瘤的发展、预后和治疗。我们之前开发了虚拟血管造影术,以根据常规获取的数字减影血管造影间接验证CFD预测的总体血流动力学。为了进行更直接的验证,在此我们将CFD预测的详细速度场与使用粒子图像测速技术(PIV)测量的速度场进行比较。两个具有解剖学真实感的流通模型,一个是巨大的颈内动脉(ICA)动脉瘤,另一个是基底动脉(BA)尖部动脉瘤,由透明硅橡胶制成。将模型放置在计算机控制的流动回路中,用代表性的流速波形进行编程。在几个前后(AP)和侧面(LAT)平面上收集PIV图像。然后使用经过充分验证的内部求解器进行CFD模拟,该求解器基于流通模型几何形状的微型计算机断层扫描(micro-CT)重建以及从PIV实验期间测量的流速得出的进出口边界条件。ICA动脉瘤中央AP平面的PIV和CFD结果显示在整个心动周期中存在一个大的稳定涡流。PIV和CFD捕捉到的复杂涡流动力学在中央LAT平面的整个心动周期中持续存在。速度矢量场总体上显示出良好的一致性。对于BA动脉瘤,一致性更令人信服,PIV和CFD都类似地解析了AP和LAT平面上反向旋转涡流的动力学。尽管在CFD模拟中施加了周期性流动边界条件,但BA动脉瘤模拟中仍明显存在逐周期波动,就幅度和空间分布而言,这些波动与在相同几何形状中由PIV测量的逐周期波动非常吻合。PIV和CFD之间总体上良好的一致性表明,CFD可以可靠地预测在具有解剖学真实感的体外模型中观察到的动脉瘤内血流动力学细节。然而,鉴于各种建模假设,这并不能证明它们正在模拟实际体内血流动力学,因此鼓励尽可能针对体内数据进行验证。