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颅内分叉动脉瘤高保真计算流体动力学中流动不稳定性的流行情况。

On the prevalence of flow instabilities from high-fidelity computational fluid dynamics of intracranial bifurcation aneurysms.

机构信息

Cardiovascular Imaging, Modelling and Biomechanics Lab, Department of Electrical, Computer and Biomedical Engineering, Ryerson University, Ontario, Canada.

Stanford University School of Medicine, Stanford, CA, USA.

出版信息

J Biomech. 2021 Oct 11;127:110683. doi: 10.1016/j.jbiomech.2021.110683. Epub 2021 Aug 13.

Abstract

High-fidelity computational fluid dynamics (HF-CFD) has revealed the potential for high-frequency flow instabilities (aka "turbulent-like" flow) in intracranial aneurysms, consistent with classic in vivo and in vitro reports of bruits and/or wall vibrations. However, HF-CFD has typically been performed on limited numbers of cases, often with unphysiological inflow conditions or focused on sidewall-type aneurysms where flow instabilities may be inherently less prevalent. Here we report HF-CFD of 50 bifurcation aneurysm cases from the open-source Aneurisk model repository. These were meshed using quadratic finite elements having an average effective spatial resolution of 0.065 mm, and solved under physiologically-pulsatile flow conditions using a well-validated, minimally-dissipative solver with 20,000 time-steps per cardiac cycle Flow instability was quantified using the recently introduced spectral power index (SPI), which quantifies, from 0 to 1, the power associated with velocity fluctuations above those of the driving inflow waveform. Of the 50 cases, nearly half showed regions within the sac having SPI up to 0.5, often with non-negligible power into the 100's of Hz, and roughly 1/3 had sac-averaged SPI > 0.1. High SPI did not significantly predict rupture status in this cohort. Proper orthogonal decomposition of cases with highest SPI revealed time-varying energetics consistent with transient turbulence. Our reported prevalence of high-frequency flow instabilities in HF-CFD modelling of aneurysms suggests that care must be taken to avoid routinely overlooking them if we are to understand the highly dynamic mechanical forces to which some aneurysm walls may be exposed, and their prevalence in vivo.

摘要

高保真计算流体动力学(HF-CFD)揭示了颅内动脉瘤中高频流动不稳定性(又名“类湍流”流动)的潜力,与经典的体内和体外关于杂音和/或壁振动的报告一致。然而,HF-CFD 通常在有限数量的病例上进行,通常存在非生理的流入条件,或者专注于侧壁型动脉瘤,其中流动不稳定性可能固有地不太普遍。在这里,我们报告了来自开源 Aneurisk 模型存储库的 50 个分叉动脉瘤病例的 HF-CFD。这些病例使用二次有限元进行了网格划分,平均有效空间分辨率为 0.065 毫米,并在生理脉动流条件下使用经过良好验证的、最小耗散求解器进行了求解,该求解器具有 20000 个时间步长每个心动周期。使用最近引入的谱功率指数(SPI)来量化流动不稳定性,SPI 从 0 到 1 量化了与驱动流入波形上方的速度波动相关的功率。在这 50 个病例中,近一半的囊内区域的 SPI 高达 0.5,通常具有不可忽略的功率进入 100 多赫兹,大约 1/3 的囊内平均 SPI>0.1。高 SPI 并不能显著预测该队列中的破裂状态。具有最高 SPI 的病例的本征正交分解揭示了与瞬态湍流一致的时变能量学。我们报告的 HF-CFD 模拟动脉瘤中高频流动不稳定性的流行率表明,如果我们要了解某些动脉瘤壁可能暴露的高度动态机械力及其在体内的流行率,就必须小心避免常规忽略它们。

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