A Computational Model of Thrombus Growth Based on Level Set Method
A Computational Model of Thrombus Growth Based on Level Set Method
复制标题
基于水平集法的血栓生长计算模型
DOI：
10.1109/access.2021.3091556
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发表时间：
2021
期刊：
影响因子：
3.9
通讯作者：
Xiangrong Tong
中科院分区：
文献类型：
--
作者：
Chaoqing Ma;Qiang Zheng;Juan Wang;Qing Cai;Honglun Li;Ruoyu Du;Xiangrong Tong
血栓形成的计算模型是决定模拟性能的重要因素。本文建立了以血浆、血管壁和血栓为连续介质，以血小板为离散颗粒的混合粒子-连续介质模型来模拟血栓的生长过程。在计算模型中，血栓生长被重新描述为一个由Level Set函数实现的新的连续体表面扩展问题，这是因为它能够有效地处理包括分裂和合并在内的拓扑变化，而不是传统的粒子积累问题。此外，我们还提出了一个基于高斯函数和距离正则化函数作为驱动血栓生长的速度函数，并对它们进行了比较。实验表明，两种水平集速度函数均能较好地保持血栓的颗粒纹理，而距离正则化函数在改善计算复杂度和表面跟踪性能方面表现得更好。两种仿真模型在血栓形成过程中都表现出了较好的可视化效果，且虚拟原发血栓的几何形状与真实血栓相似。
The computational model of thrombosis is of great importance that decides the simulation performance. In the present study, a hybrid particle-continuum model with plasma, vascular wall, and thrombus being continuum material and platelets being discrete particles, was developed to simulate the thrombus growth. In the computational model, the thrombus growth was reformulated as a novel continuum surface expansion problem implemented by a level set function due to its capability of effectively handling the topological changes comprising splitting and merging, rather than a traditional particle accumulation problem. Additionally, a Gaussian-based function and distance regularization function, served as speed functions to drive the thrombus growth, were proposed and compared in our study. Experiments demonstrated that the growing thrombus could retain the particle texture of platelets by both level set speed functions, while the distance regularization function performed better in improving computational complexity and surface tracking behaviors. Both simulations demonstrated better visuality in the progress of thrombosis, and the geometry shape of the virtual primary thrombi were similar to the realistic counterpart.
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影响因子：
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作者：
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通讯作者：
A. Tosenberger;A. Tosenberger;Fazoil I. Ataullakhanov;N. Bessonov;Mikhail A. Panteleev;A. Tokarev;V. Volpert;V. Volpert;V. Volpert
影响因子：
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作者：
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DOI：
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发表时间：
2011-03-01
影响因子：
1.1
作者：
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通讯作者：
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DOI：
10.1016/j.ijheatfluidflow.2019.108520
发表时间：
2020-02
影响因子：
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作者：
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通讯作者：
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