Automated generation of 0D and 1D reduced-order models of patient-specific blood flow.
Automated generation of 0D and 1D reduced-order models of patient-specific blood flow.
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DOI：
10.1002/cnm.3639
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发表时间：
2022-10
影响因子：
2.1
通讯作者：
Marsden, Alison L.
中科院分区：
文献类型：
--
作者：
Pfaller, Martin R.;Pham, Jonathan;Verma, Aekaansh;Pegolotti, Luca;Wilson, Nathan M.;Parker, David W.;Yang, Weiguang;Marsden, Alison L.
关键词：
三维 (3D) 心血管流体动力学模拟通常需要高性能计算集群上数小时到数天的计算时间。一维 (1D) 和集总参数零维 (0D) 模型显示出以一小部分成本准确预测血液流量和压力波形的巨大前景。它们还可以加速不确定性量化、优化和设计参数化研究。尽管之前有几项研究生成了 1D 和 0D 模型并将其与 3D 解决方案进行比较，但这些研究通常仅限于 1D 或 0D 以及单一类别的血管解剖结构。这项工作提出了一个完全自动化且公开可用的框架，用于根据 3D 患者特定几何形状生成和模拟 1D 和 0D 模型，自动检测血管连接处和狭窄段。我们唯一的输入是 3D 几何图形；我们不使用 3D 模拟中的任何先验知识。这项工作中提出的所有计算工具都是在开源软件平台 SimVasular 中实现的。我们通过与来自不同解剖结构、血管类型和疾病状况的 N = 72 个公开模型的全面比较，展示了针对刚性壁 3D 解决方案的降阶近似质量。对于 1D 和 0D 模型，在终端容器分支出口处测量的流量和压力的相对平均近似误差通常在 1% 到 10% 之间。一般来说，0D 模型错误仅略高于 1D 模型错误，尽管只需要 1D 运行时间的三分之一。自动生成的 ROM 可以显着加快模型开发速度，并将计算负载从高性能机器转移到个人计算机。我们提出了一个开源框架，可以从 3D 几何形状自动生成 1D 和 0D 降阶流体动力学模型。我们通过 N=72 个特定主题模型与 3D 流体动力学的综合比较，证明了框架的稳健性以及 1D 和 0D 近似的质量。尽管计算量显着减少，1D 和 0D 模型即使在严重狭窄的情况下也与 3D 模型表现出良好的一致性。
Three-dimensional (3D) cardiovascular fluid dynamics simulations typically require hours to days of computing time on a high-performance computing cluster. One-dimensional (1D) and lumped-parameter zero-dimensional (0D) models show great promise for accurately predicting blood bulk flow and pressure waveforms with only a fraction of the cost. They can also accelerate uncertainty quantification, optimization, and design parameterization studies. Despite several prior studies generating 1D and 0D models and comparing them to 3D solutions, these were typically limited to either 1D or 0D and a singular category of vascular anatomies. This work proposes a fully automated and openly available framework to generate and simulate 1D and 0D models from 3D patient-specific geometries, automatically detecting vessel junctions and stenosis segments. Our only input is the 3D geometry; we do not use any prior knowledge from 3D simulations. All computational tools presented in this work are implemented in the open-source software platform SimVascular. We demonstrate the reduced-order approximation quality against rigid-wall 3D solutions in a comprehensive comparison with N = 72 publicly available models from various anatomies, vessel types, and disease conditions. Relative average approximation errors of flows and pressures typically ranged from 1% to 10% for both 1D and 0D models, measured at the outlets of terminal vessel branches. In general, 0D model errors were only slightly higher than 1D model errors despite requiring only a third of the 1D runtime. Automatically generated ROMs can significantly speed up model development and shift the computational load from high-performance machines to personal computers. We present an open-source framework to automatically generate 1D and 0D reduced-order fluid dynamics models from 3D geometries. We demonstrate the robustness of the framework and the quality of the 1D and 0D approximations in a comprehensive comparison of N=72 subject-specific models against 3D fluid dynamics. Despite their significantly reduced computational effort, 1D and 0D models show good agreement with 3D models even in severely stenosed cases.
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影响因子：
4.3
作者：
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通讯作者：
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DOI：
10.1016/j.cma.2005.11.011
发表时间：
2006-01-01
影响因子：
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