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一种用于心血管建模的流体-固体增长溶解器.

Erica L Schwarz¹, Martin R Pfaller², Jason M Szafron²

¹Department of Bioengineering, Stanford Univeristy, Stanford, CA 94306, USA.

Computer methods in applied mechanics and engineering

|December 4, 2023

概括

此摘要是机器生成的。

我们开发了一种用于血管生长和重塑的新计算模型,使得长期,针对患者的血流和血管变化的预测成为可能. 这种工具有助于研究复杂血管领域的疾病进展.

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科学领域:

计算力学是计算力学.
生物医学工程生物医学工程
血管生物学血管生物学

背景情况:

精确模拟血管动力学对于了解疾病至关重要.
当前的流体结构相互作用 (FSI) 模型通常专注于短期预测.
长期的血管变化,包括生长和重塑,是复杂的和机械生物学的依赖.

研究的目的:

将血管生长和重塑的完整的三维受约束混合理论集成到一个FSI解决器中.
开发一种新的"液体-固体-生长" (FSG) 解决方案,能够进行长期的,针对患者的特定模拟.
增强计算模型对血管疾病研究的临床相关性.

主要方法:

三维受约束混合理论的实施.
集成到有限元流体结构相互作用 (FSI) 框架中.
"流体-固体生长" (FSG) 溶解器的开发.

主要成果:

该FSG解决器使长期预测的血液动力学.
它预测了血管壁形态,组织组成和材料性质的变化.
该模型在复杂的血管几何形状上促进了机械生物学依赖的研究.

结论:

开发的FSG解决方案将短期FSI能力扩展到长期预测.
这一进展增加了研究血管疾病进展的临床相关性.
该模型支持对血管生长和重塑的患者特定分析.