Shadden Shawn C, Taylor Charles A
Department of Bioengineering, Stanford University, Stanford, CA, USA.
Ann Biomed Eng. 2008 Jul;36(7):1152-62. doi: 10.1007/s10439-008-9502-3. Epub 2008 Apr 25.
Recent advances in blood flow modeling have provided highly resolved, four-dimensional data of fluid mechanics in large vessels. The motivation for such modeling is often to better understand how flow conditions relate to health and disease, or to evaluate interventions that affect, or are affected by, blood flow mechanics. Vessel geometry and the pulsatile pumping of blood leads to complex flow, which is often difficult to characterize. This article discusses a computational method to better characterize blood flow kinematics. In particular, we compute Lagrangian coherent structures (LCS) to study flow in large vessels. We demonstrate that LCS can be used to characterize flow stagnation, flow separation, partitioning of fluid to downstream vasculature, and mechanisms governing stirring and mixing in vascular models. This perspective allows valuable understanding of flow features in large vessels beyond methods traditionally considered.
血流建模的最新进展提供了大血管中流体力学的高分辨率四维数据。进行此类建模的动机通常是为了更好地理解血流状况与健康和疾病的关系，或者评估影响血流力学或受血流力学影响的干预措施。血管几何形状和血液的脉动泵送导致了复杂的血流，这种血流通常难以表征。本文讨论了一种更好地表征血流运动学的计算方法。特别是，我们计算拉格朗日相干结构（LCS）来研究大血管中的血流。我们证明，LCS可用于表征血流停滞、血流分离、流体向下游脉管系统的分配，以及血管模型中控制搅拌和混合的机制。这种观点使我们能够对大血管中的血流特征有更有价值的理解，这是传统方法所无法企及的。
