Cebral Juan R, Castro Marcelo A, Appanaboyina Sunil, Putman Christopher M, Millan Daniel, Frangi Alejandro F
School of Computational Sciences, George Mason University, 4400 University Drive, MSN 4C7, Fairfax, VA 22030, USA.
IEEE Trans Med Imaging. 2005 Apr;24(4):457-67. doi: 10.1109/tmi.2005.844159.
Hemodynamic factors are thought to be implicated in the progression and rupture of intracranial aneurysms. Current efforts aim to study the possible associations of hemodynamic characteristics such as complexity and stability of intra-aneurysmal flow patterns, size and location of the region of flow impingement with the clinical history of aneurysmal rupture. However, there are no reliable methods for measuring blood flow patterns in vivo. In this paper, an efficient methodology for patient-specific modeling and characterization of the hemodynamics in cerebral aneurysms from medical images is described. A sensitivity analysis of the hemodynamic characteristics with respect to variations of several variables over the expected physiologic range of conditions is also presented. This sensitivity analysis shows that although changes in the velocity fields can be observed, the characterization of the intra-aneurysmal flow patterns is not altered when the mean input flow, the flow division, the viscosity model, or mesh resolution are changed. It was also found that the variable that has the greater impact on the computed flow fields is the geometry of the vascular structures. We conclude that with the proposed modeling pipeline clinical studies involving large numbers cerebral aneurysms are feasible.
血流动力学因素被认为与颅内动脉瘤的进展和破裂有关。目前的研究致力于探讨血流动力学特征，如动脉瘤内血流模式的复杂性和稳定性、血流冲击区域的大小和位置，与动脉瘤破裂临床病史之间可能存在的关联。然而，目前尚无可靠的体内血流模式测量方法。本文描述了一种从医学图像中针对患者特异性建模和表征脑动脉瘤血流动力学的有效方法。还给出了在预期生理条件范围内，针对几个变量变化的血流动力学特征敏感性分析。该敏感性分析表明，尽管可以观察到速度场的变化，但当平均输入流量、流量分配、粘度模型或网格分辨率改变时，动脉瘤内血流模式的特征并未改变。研究还发现，对计算得到的流场影响较大的变量是血管结构的几何形状。我们得出结论，利用所提出的建模流程，涉及大量脑动脉瘤的临床研究是可行的。
