On the impact of modelling assumptions in multi-scale, subject-specific models of aortic haemodynamics.
On the impact of modelling assumptions in multi-scale, subject-specific models of aortic haemodynamics.
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关于在多尺度，主体血流动力学特定主题模型中建模假设的影响。
DOI：
10.1098/rsif.2016.0073
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发表时间：
2016-06
期刊：
影响因子：
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通讯作者：
Figueroa CA
中科院分区：
文献类型：
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作者：
Alastruey J;Xiao N;Fok H;Schaeffter T;Figueroa CA
血流动力学的模拟在研究界越来越受欢迎。无论采用哪种建模方法（零维（0 D）、一维（1D）或三维（3D）），都需要进行体内测量，以个性化计算模型的动脉几何形状、材料特性和边界条件。在体内数据采集的限制往往导致信息不足，以确定所有的模型参数，因此，任意建模假设。我们的目标是最大限度地减少和了解模拟的血压，流量和管腔面积波形的建模假设的影响，通过研究一个小区域的全身血管-上动脉-并从一个年轻的健康志愿者获得丰富的阵列的非侵入性磁共振成像和眼压测量数据。我们首先研究了不同的建模假设的边界条件和材料参数的影响，在1D/0 D模拟框架。实施策略以减轻体内数据不一致的影响。仿真波形与活体波形的平均相对误差小于7%。在3D/0 D模拟框架中使用相同的流入和流出边界条件以及一致的几何和力学特性获得了类似的结果。我们证明，可以使用非侵入性临床数据获得准确的受试者特定的主动脉血流动力学1D/0 D和3D/0 D模型，同时最大限度地减少任意建模决策的数量。
Simulation of haemodynamics has become increasingly popular within the research community. Irrespective of the modelling approach (zero-dimensional (0D), one-dimensional (1D) or three-dimensional (3D)), in vivo measurements are required to personalize the arterial geometry, material properties and boundary conditions of the computational model. Limitations in in vivo data acquisition often result in insufficient information to determine all model parameters and, hence, arbitrary modelling assumptions. Our goal was to minimize and understand the impact of modelling assumptions on the simulated blood pressure, flow and luminal area waveforms by studying a small region of the systemic vasculature—the upper aorta—and acquiring a rich array of non-invasive magnetic resonance imaging and tonometry data from a young healthy volunteer. We first investigated the effect of different modelling assumptions for boundary conditions and material parameters in a 1D/0D simulation framework. Strategies were implemented to mitigate the impact of inconsistencies in the in vivo data. Average relative errors smaller than 7% were achieved between simulated and in vivo waveforms. Similar results were obtained in a 3D/0D simulation framework using the same inflow and outflow boundary conditions and consistent geometrical and mechanical properties. We demonstrated that accurate subject-specific 1D/0D and 3D/0D models of aortic haemodynamics can be obtained using non-invasive clinical data while minimizing the number of arbitrary modelling decisions.