血管流固耦合中的纤维组织建模：一种基于形态学的流程及其生物力学意义
Modeling fibrous tissue in vascular fluid-structure interaction: a morphology-based pipeline and biomechanical significance
AI总结：
本研究提出一套基于形态学的厚壁动脉纤维组织建模流程，含网格生成、局部基向量构建、多分支中心线识别等，验证表明其纤维定义效果良好，且证实动脉壁本构模型显著影响血管变形与应力分布，为精准血管建模提供支撑。
摘要：
我们提出一套用于分析各向异性动脉壁与血流在患者特异性几何结构下相互作用的技术体系。基于已成熟的管腔建模策略，我们提出了一套生成厚壁动脉模型的完整流程。通过专门的网格生成步骤，我们得到了动脉管腔与管壁的网格，并确保了界面处的网格连续性。利用中心线信息，我们引入了一系列在动脉壁内生成局部基向量的步骤，这些步骤专门适配厚壁组织，尤其是基向量可能存在跨壁变化的动脉瘤组织。此外，我们还提出了在多分支血管和分叉区域准确识别中心线的方法。我们将所开发的纤维生成方法与采用线弹性分析的策略进行了对比评估，结果表明，所提方法在所选基准测试中能生成令人满意的纤维定义。最后，我们通过数值算例研究了各向异性动脉壁模型对血管流固耦合分析的影响，对比模型选用neo-Hookean模型。第一个算例采用理想化的弯曲几何结构，第二个算例则研究基于影像的腹主动脉模型。数值结果显示，血管变形和应力分布与管壁的本构模型密切相关，而血流动力学因素对管壁模型的敏感度较低。这项工作为更精准的基于影像的血管建模奠定了基础，提升了生理真实条件下动脉行为的预测能力。
英文摘要：
We propose a suite of technologies for analyzing the interaction between anisotropic arterial walls and blood flow for subject-specific geometries. Utilizing an established lumen modeling strategy, we present a comprehensive pipeline for generating the thick-walled artery models. Through a specialized mesh generation procedure, we obtain the meshes for the arterial lumen and wall with mesh continuity across the interface ensured. Exploiting the centerline information, a series of procedures is introduced for generating local basis vectors within the arterial wall. The procedures are tailored to handle thick-walled and, in particular, aneurysmatic tissues in which the basis vectors may exhibit transmural variations. Additionally, we propose methods to accurately identify the centerline in multi-branched vessels and bifurcating regions. The developed fiber generation method is evaluated against the strategy using linear elastic analysis, demonstrating that the proposed approach yields satisfactory fiber definitions in the considered benchmark. Finally, we examine the impact of anisotropic arterial wall models on the vascular fluid-structure interaction analysis through numerical examples. For comparison purposes, the neo-Hookean model is considered. The first case involves an idealized curved geometry, while the second case studies an image-based abdominal aorta model. The numerical results reveal that the deformation and stress distribution are critically related to the constitutive model of the wall, while the hemodynamic factors are less sensitive to the wall model. This work paves the way for more accurate image-based vascular modeling and enhances the prediction of arterial behavior under physiologically realistic conditions.
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