Oeltze-Jafra Steffen, Cebral Juan R, Janiga Gábor, Preim Bernhard
IEEE Trans Vis Comput Graph. 2016 Jan;22(1):757-66. doi: 10.1109/TVCG.2015.2467203. Epub 2015 Aug 12.
Computational fluid dynamic (CFD) simulations of blood flow provide new insights into the hemodynamics of vascular pathologies such as cerebral aneurysms. Understanding the relations between hemodynamics and aneurysm initiation, progression, and risk of rupture is crucial in diagnosis and treatment. Recent studies link the existence of vortices in the blood flow pattern to aneurysm rupture and report observations of embedded vortices -a larger vortex encloses a smaller one flowing in the opposite direction -whose implications are unclear. We present a clustering-based approach for the visual analysis of vortical flow in simulated cerebral aneurysm hemodynamics. We show how embedded vortices develop at saddle-node bifurcations on vortex core lines and convey the participating flow at full manifestation of the vortex by a fast and smart grouping of streamlines and the visualization of group representatives. The grouping result may be refined based on spectral clustering generating a more detailed visualization of the flow pattern, especially further off the core lines. We aim at supporting CFD engineers researching the biological implications of embedded vortices.
血流的计算流体动力学(CFD)模拟为诸如脑动脉瘤等血管病变的血流动力学提供了新的见解。了解血流动力学与动脉瘤的起始、进展和破裂风险之间的关系对于诊断和治疗至关重要。最近的研究将血流模式中涡旋的存在与动脉瘤破裂联系起来,并报告了嵌入式涡旋的观察结果——一个较大的涡旋包围着一个沿相反方向流动的较小涡旋——其影响尚不清楚。我们提出了一种基于聚类的方法,用于对模拟脑动脉瘤血流动力学中的涡旋流进行可视化分析。我们展示了嵌入式涡旋如何在涡旋核心线上的鞍结分岔处形成,并通过快速智能地对流线进行分组以及对组代表进行可视化,来传达涡旋充分显现时的参与流动。可以基于谱聚类对分组结果进行细化,从而生成更详细的流动模式可视化,尤其是在远离核心线的地方。我们旨在支持CFD工程师研究嵌入式涡旋的生物学意义。