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使用形状记忆聚合物泡沫对基底动脉瘤进行虚拟治疗。

Virtual treatment of basilar aneurysms using shape memory polymer foam.

机构信息

Engineering Technologies Division, Lawrence Livermore National Laboratory, P.O. Box 808, L-090, Livermore, CA 94551, USA.

出版信息

Ann Biomed Eng. 2013 Apr;41(4):725-43. doi: 10.1007/s10439-012-0719-9. Epub 2013 Jan 18.

Abstract

Numerical simulations are performed on patient-specific basilar aneurysms that are treated with shape memory polymer (SMP) foam. In order to assess the post-treatment hemodynamics, two modeling approaches are employed. In the first, the foam geometry is obtained from a micro-CT scan and the pulsatile blood flow within the foam is simulated for both Newtonian and non-Newtonian viscosity models. In the second, the foam is represented as a porous media continuum, which has permeability properties that are determined by computing the pressure gradient through the foam geometry over a range of flow speeds comparable to those of in vivo conditions. Virtual angiography and additional post-processing demonstrate that the SMP foam significantly reduces the blood flow speed within the treated aneurysms, while eliminating the high-frequency velocity fluctuations that are present within the pre-treatment aneurysms. An estimation of the initial locations of thrombus formation throughout the SMP foam is obtained by means of a low fidelity thrombosis model that is based upon the residence time and shear rate of blood. The Newtonian viscosity model and the porous media model capture similar qualitative trends, though both yield a smaller volume of thrombus within the SMP foam.

摘要

对采用形状记忆聚合物(SMP)泡沫治疗的特定患者基底动脉瘤进行数值模拟。为了评估治疗后的血液动力学,采用了两种建模方法。在第一种方法中,从微 CT 扫描中获得泡沫的几何形状,并模拟泡沫内的脉动血流,分别使用牛顿和非牛顿粘度模型。在第二种方法中,泡沫被表示为多孔介质连续体,其渗透性特性通过在与体内条件相当的一系列流速下计算通过泡沫几何形状的压力梯度来确定。虚拟血管造影和其他后处理表明,SMP 泡沫显著降低了治疗动脉瘤内的血流速度,同时消除了治疗前动脉瘤内存在的高频速度波动。通过基于血液停留时间和剪切率的低精度血栓形成模型,获得了 SMP 泡沫内血栓形成初始位置的估计。牛顿粘度模型和多孔介质模型都捕捉到了类似的定性趋势,尽管两者在 SMP 泡沫内产生的血栓体积都较小。

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