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基于分流的出口边界条件计算方法,用于改善多发性颅内动脉瘤中的脑血管模拟。

Flow-splitting-based computation of outlet boundary conditions for improved cerebrovascular simulation in multiple intracranial aneurysms.

机构信息

Department of Simulation and Graphics, Otto-von-Guericke University Magdeburg, Universitätsplatz 2, 39106, Magdeburg, Germany.

Research Campus STIMULATE, Magdeburg, Germany.

出版信息

Int J Comput Assist Radiol Surg. 2019 Oct;14(10):1805-1813. doi: 10.1007/s11548-019-02036-7. Epub 2019 Jul 30.

Abstract

PURPOSE

Image-based hemodynamic simulations have great potential for precise blood flow predictions in intracranial aneurysms. Due to model assumptions and simplifications with respect to boundary conditions, clinical acceptance remains limited.

METHODS

Within this study, we analyzed the influence of outflow-splitting approaches on multiple aneurysm studies and present a new outflow-splitting approach that takes the precise morphological vessel cross sections into account. We provide a detailed comparison of five outflow strategies considering eight intracranial aneurysms: zero-pressure configuration (1), a flow splitting inspired by Murray's law with a square (2) and a cubic (3) vessel diameter, a flow splitting incorporating vessel bifurcations based on circular vessel cross sections (4) and our novel flow splitting including vessel bifurcations and anatomical vessel cross sections (5). Other boundary conditions remain constant. For each simulation and each aneurysm, we conducted an evaluation based on common hemodynamic parameters, e.g., normalized wall shear stress and inflow concentration index.

RESULTS

The comparison of five outflow strategies for image-based simulations shows a large variability regarding the parameters of interest. Qualitatively, our strategy based on anatomical cross sections yields a more uniform flow rate distribution with increased aneurysm inflow rates. The commonly used zero-pressure approach shows the largest variations, especially for more distal aneurysms. A rank ordering of multiple aneurysms in one patient might still be possible, since the ordering appeared to be independent of the outflow strategy.

CONCLUSIONS

The results reveal that outlet boundary conditions have a crucial impact on image-based blood flow simulations, especially for multiple aneurysm studies. We could confirm the advantages of the more complex outflow-splitting model (4) including an incremental improvement (5) compared to strategies (1), (2) and (3) for this application scenario. Furthermore, we discourage from using zero-pressure configurations that lack a physiological basis.

摘要

目的

基于图像的血流模拟在颅内动脉瘤的精确血流预测方面具有巨大潜力。由于模型假设和边界条件的简化,临床应用仍然受到限制。

方法

在本研究中,我们分析了分流方法对多种动脉瘤研究的影响,并提出了一种新的分流方法,该方法考虑了精确的形态血管横截面。我们详细比较了五种分流策略,考虑了 8 个颅内动脉瘤:零压力配置(1)、受 Murray 定律启发的分流,采用方形(2)和立方(3)血管直径、基于圆形血管横截面的分流,包括血管分叉(4)和我们新的包括血管分叉和解剖血管横截面的分流(5)。其他边界条件保持不变。对于每个模拟和每个动脉瘤,我们根据常见的血流动力学参数进行了评估,例如归一化壁切应力和流入集中指数。

结果

基于图像的模拟的五种分流策略的比较显示出关于感兴趣参数的很大变异性。定性地,我们基于解剖横截面的策略产生了更均匀的流速分布,增加了动脉瘤的流入率。常用的零压力方法显示出最大的变化,特别是对于更远端的动脉瘤。对一个患者中的多个动脉瘤进行排序仍然是可能的,因为排序似乎与分流策略无关。

结论

结果表明,出口边界条件对基于图像的血流模拟有至关重要的影响,特别是对于多个动脉瘤研究。我们可以确认更复杂的分流模型(4)的优势,与策略(1)、(2)和(3)相比,该模型在这种应用场景中具有递增的改进(5)。此外,我们不鼓励使用缺乏生理基础的零压力配置。

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