Nagy Róbert, Csobay-Novák Csaba, Lovas Attila, Sótonyi Péter, Bojtár Imre
Budapest University of Technology and Economics, Faculty of Civil Engineering, Department of Structural Mechanics, Műegyetem rkp. 3. K mf. 63, H-1111 Budapest, Hungary.
Semmelweis University, Faculty of Medicine, Department of Vascular Surgery, Városmajor u. 68, H-1122 Budapest, Hungary.
J Biomech. 2015 Jul 16;48(10):1876-86. doi: 10.1016/j.jbiomech.2015.04.030. Epub 2015 Apr 28.
We aim to introduce a novel, inverse method for in vivo material parameter identification of human abdominal aortic aneurysms (AAA), which could overcome one of the greatest sources of uncertainty in patient-specific simulations, and could also serve as a rapid, patient-calibrated, novel measure of aneurysm rupture risk. As an initial step, the determination of the kinematic fields is presented here. Images of the AAA lumen, acquired in 10 discrete time-steps through a stabilized cardiac cycle by electrocardiogram-gated computer tomography angiography, are used to approximate the in vivo, time dependent kinematic fields of the arterial wall using a novel, incompressible Kirchhoff-Love shell element implemented into the isogeometric analysis framework. Defining a smoothing parametric surface via 2D bicubic spline fitting in the spatial, and by harmonic regression in the temporal domain, we are able to adequately mitigate the measurement inaccuracy. The ill-posedness of the problem requires certain assumptions on the displacement. In our case, based on numerical fluid structure interaction simulation observations, we hypothesized the incremental displacement vector of the reference surface to coincide with its corrected normal; hence the periodic movement was assured. Finally, we present two examples: an AAA and an undilated calcificated aorta. Strains in the diseased part were compared to those in a healthy arterial section of the same patient and found to have significant differences in both specimens. In the case of AAAs, high spatial gradients surrounding the dilated part indicate abrupt changes in material properties, a phenomenon less significant for the atherosclerotic case.
我们旨在引入一种新颖的逆向方法,用于人体腹主动脉瘤(AAA)的体内材料参数识别,该方法可以克服患者特异性模拟中最大的不确定性来源之一,还可以作为一种快速的、针对患者校准的动脉瘤破裂风险新指标。作为第一步,本文介绍了运动场的确定方法。通过心电图门控计算机断层血管造影在稳定心动周期的10个离散时间步获取的AAA管腔图像,用于使用在等几何分析框架中实现的新型不可压缩基尔霍夫-洛夫壳单元来近似动脉壁的体内随时间变化的运动场。通过在空间上进行二维双三次样条拟合以及在时间域进行谐波回归来定义平滑参数曲面,我们能够充分减轻测量误差。该问题的不适定性需要对位移做出某些假设。在我们的案例中,基于数值流固相互作用模拟观察结果,我们假设参考曲面的增量位移向量与其校正后的法线重合;因此确保了周期性运动。最后,我们给出两个例子:一个AAA和一个未扩张的钙化主动脉。将患病部位的应变与同一患者健康动脉段的应变进行比较,发现两个标本中的应变均存在显著差异。在AAA的情况下,扩张部位周围的高空间梯度表明材料特性的突然变化,这一现象在动脉粥样硬化病例中不太明显。