心血管流体-结构相互作用中零压几何和预应力方法的比较分析。

IF 4.9 2区 医学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Computer methods and programs in biomedicine Pub Date : 2024-10-29 DOI:10.1016/j.cmpb.2024.108475
André Mourato , Rodrigo Valente , José Xavier , Moisés Brito , Stéphane Avril , António C. Tomás , José Fragata
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引用次数: 0

摘要

背景和目的:利用先进的计算技术(如流体-结构相互作用(FSI))对患者特定的主动脉生物力学进行建模,对于提供有效的决策指标以改进当前的临床实践至关重要。要有效模拟升主动脉瘤(ATAA),必须定义无应力构型。零压几何(ZPG)和预应力张量(PT)是解决这一问题的两种主要方法。不过,它们对数值结果的影响还有待分析。计算机断层扫描血管造影(CTA)和磁共振成像(MRI)数据被用于开发针对患者的双向 FSI 框架:方法:开发了三种模型,考虑了不同的组织预应力方法来解释参考配置,并对其数值结果进行了比较。所选方法为(i) ZPG,(ii) PT,(iii) PT 方法与材料属性区域映射(PTCAL)的结合:结果:所有模型估算的压力场都是相同的。除相对滞留时间(RRT)外,基于墙壁剪应力(WSS)的估算指标显示所有模型之间的对应性良好。在 ATAA 壁力学方面,与 ZPG 模型相比,PT 方法的扩展方案与 ZPG 模型更接近。此外,与 ZPG 算法相比,PT 和 PTCAL 方法实现循环收敛所需的迭代次数减少了约 60%:结论:将材料特性的区域映射与 PT 方法相结合,与 ZPG 方法的对应性更好。本研究的成果可为使用 PT 方法提高 ATAA 数值模型的精度和收敛性铺平道路。
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Comparative analysis of Zero Pressure Geometry and prestress methods in cardiovascular Fluid-Structure Interaction

Background and Objective:

Modelling patient-specific aortic biomechanics with advanced computational techniques, such as Fluid–Structure Interaction (FSI), can be crucial to provide effective decision-making indices to enhance current clinical practices. To effectively simulate Ascending Thoracic Aortic Aneurysms (ATAA), the stress-free configuration must be defined. The Zero Pressure Geometry (ZPG) and the Prestress Tensor (PT) are two of the main approaches to tackle this issue. However, their impact on the numerical results is yet to be analysed. Computed Tomography Angiography (CTA) and Magnetic Resonance Imaging (MRI) data were used to develop patient-specific 2-way FSI frameworks.

Methods:

Three models were developed considering different tissue prestressing approaches to account for the reference configuration and their numerical results were compared. The selected approaches were: (i) ZPG, (ii) PT and (iii) a combination of the PT approach with a regional mapping of material properties (PTCAL).

Results:

The pressure fields estimated by all models were equivalent. The estimation of Wall Shear Stress (WSS) based metrics revealed good correspondence between all models except the Relative Residence Time (RRT). Regarding ATAA wall mechanics, the proposed extension to the PT approach presented a closer agreement with the ZPG model than its counterpart. Additionally, the PT and PTCAL approaches required around 60% fewer iterations to achieve cycle-to-cycle convergence than the ZPG algorithm.

Conclusion:

Using a regional mapping of material properties in combination with the PT method presented a better correspondence with the ZPG approach. The outcomes of this study can pave the way for advancing the accuracy and convergence of ATAA numerical models using the PT methodology.
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来源期刊
Computer methods and programs in biomedicine
Computer methods and programs in biomedicine 工程技术-工程:生物医学
CiteScore
12.30
自引率
6.60%
发文量
601
审稿时长
135 days
期刊介绍: To encourage the development of formal computing methods, and their application in biomedical research and medical practice, by illustration of fundamental principles in biomedical informatics research; to stimulate basic research into application software design; to report the state of research of biomedical information processing projects; to report new computer methodologies applied in biomedical areas; the eventual distribution of demonstrable software to avoid duplication of effort; to provide a forum for discussion and improvement of existing software; to optimize contact between national organizations and regional user groups by promoting an international exchange of information on formal methods, standards and software in biomedicine. Computer Methods and Programs in Biomedicine covers computing methodology and software systems derived from computing science for implementation in all aspects of biomedical research and medical practice. It is designed to serve: biochemists; biologists; geneticists; immunologists; neuroscientists; pharmacologists; toxicologists; clinicians; epidemiologists; psychiatrists; psychologists; cardiologists; chemists; (radio)physicists; computer scientists; programmers and systems analysts; biomedical, clinical, electrical and other engineers; teachers of medical informatics and users of educational software.
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