• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

验证一种用于全身动脉树的患者特异性一维模型。

Validation of a patient-specific one-dimensional model of the systemic arterial tree.

机构信息

Laboratory of Hemodynamics and Cardiovascular Technology, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.

出版信息

Am J Physiol Heart Circ Physiol. 2011 Sep;301(3):H1173-82. doi: 10.1152/ajpheart.00821.2010. Epub 2011 May 27.

DOI:10.1152/ajpheart.00821.2010
PMID:21622820
Abstract

The aim of this study is to develop and validate a patient-specific distributed model of the systemic arterial tree. This model is built using geometric and hemodynamic data measured on a specific person and validated with noninvasive measurements of flow and pressure on the same person, providing thus a patient-specific model and validation. The systemic arterial tree geometry was obtained from MR angiographic measurements. A nonlinear viscoelastic constitutive law for the arterial wall is considered. Arterial wall distensibility is based on literature data and adapted to match the wave propagation velocity of the main arteries of the specific subject, which were estimated by pressure waves traveling time. The intimal shear stress is modeled using the Witzig-Womersley theory. Blood pressure is measured using applanation tonometry and flow rate using transcranial ultrasound and phase-contrast-MRI. The model predicts pressure and flow waveforms in good qualitative and quantitative agreement with the in vivo measurements, in terms of wave shape and specific wave features. Comparison with a generic one-dimensional model shows that the patient-specific model better predicts pressure and flow at specific arterial sites. These results obtained let us conclude that a patient-specific one-dimensional model of the arterial tree is able to predict well pressure and flow waveforms in the main systemic circulation, whereas this is not always the case for a generic one-dimensional model.

摘要

本研究旨在开发和验证一种特定于患者的全身动脉树的分布式模型。该模型是使用特定个体的几何和血流动力学数据构建的,并使用同一个体的非侵入性流量和压力测量进行验证,从而提供了特定于患者的模型和验证。全身动脉树的几何形状是从磁共振血管造影测量中获得的。考虑了动脉壁的非线性粘弹性本构定律。动脉壁可扩展性基于文献数据,并进行了调整以匹配特定对象的主要动脉的波传播速度,该速度是通过压力波传播时间估计的。内膜切应力使用 Witzig-Womersley 理论进行建模。血压通过平板眼压测量,流量通过经颅超声和相位对比-MRI 测量。该模型在定性和定量方面都很好地预测了体内测量的压力和流量波形,包括波的形状和特定的波特征。与通用的一维模型相比,结果表明,特定于患者的动脉树的一维模型能够更好地预测特定动脉部位的压力和流量。这些结果表明,特定于患者的动脉树的一维模型能够很好地预测主要全身循环中的压力和流量波形,而通用的一维模型则并非总是如此。

相似文献

1
Validation of a patient-specific one-dimensional model of the systemic arterial tree.验证一种用于全身动脉树的患者特异性一维模型。
Am J Physiol Heart Circ Physiol. 2011 Sep;301(3):H1173-82. doi: 10.1152/ajpheart.00821.2010. Epub 2011 May 27.
2
Validation of a one-dimensional model of the systemic arterial tree.全身动脉树一维模型的验证
Am J Physiol Heart Circ Physiol. 2009 Jul;297(1):H208-22. doi: 10.1152/ajpheart.00037.2009. Epub 2009 May 8.
3
An anatomically detailed arterial network model for one-dimensional computational hemodynamics.用于一维计算血流动力学的解剖学详细动脉网络模型。
IEEE Trans Biomed Eng. 2015 Feb;62(2):736-53. doi: 10.1109/TBME.2014.2364522. Epub 2014 Oct 22.
4
Development of an Experimental and Digital Cardiovascular Arterial Model for Transient Hemodynamic and Postural Change Studies: "A Preliminary Framework Analysis".用于瞬态血流动力学和姿势变化研究的实验性和数字化心血管动脉模型的开发:“初步框架分析”
Cardiovasc Eng Technol. 2018 Mar;9(1):1-31. doi: 10.1007/s13239-017-0332-z. Epub 2017 Nov 9.
5
Validation of Numerical Simulations of Thoracic Aorta Hemodynamics: Comparison with In Vivo Measurements and Stochastic Sensitivity Analysis.胸主动脉血流动力学数值模拟的验证:与体内测量结果的比较及随机敏感性分析
Cardiovasc Eng Technol. 2018 Dec;9(4):688-706. doi: 10.1007/s13239-018-00387-x. Epub 2018 Oct 24.
6
Descending aorta subject-specific one-dimensional model validated against in vivo data.降主动脉个体特异性一维模型与体内数据进行验证。
J Biomech. 2014 Jan 22;47(2):424-31. doi: 10.1016/j.jbiomech.2013.11.009. Epub 2013 Nov 15.
7
A simulation environment for validating ultrasonic blood flow and vessel wall imaging based on fluid-structure interaction simulations: ultrasonic assessment of arterial distension and wall shear rate.基于流固耦合模拟的超声血流和血管壁成像验证的仿真环境:动脉扩张和壁切率的超声评估。
Med Phys. 2010 Aug;37(8):4318-30. doi: 10.1118/1.3462592.
8
On the importance of the nonuniform aortic stiffening in the hemodynamics of physiological aging.在生理衰老的血液动力学中主动脉非均匀僵硬的重要性。
Am J Physiol Heart Circ Physiol. 2019 Nov 1;317(5):H1125-H1133. doi: 10.1152/ajpheart.00193.2019. Epub 2019 Sep 20.
9
Wave propagation in a model of the arterial circulation.动脉循环模型中的波传播
J Biomech. 2004 Apr;37(4):457-70. doi: 10.1016/j.jbiomech.2003.09.007.
10
Hemodynamics of human carotid artery bifurcations: computational studies with models reconstructed from magnetic resonance imaging of normal subjects.人体颈动脉分叉处的血流动力学:基于正常受试者磁共振成像重建模型的计算研究
J Vasc Surg. 1998 Jul;28(1):143-56. doi: 10.1016/s0741-5214(98)70210-1.

引用本文的文献

1
Machine learning-enabled estimation of cardiac output from peripheral waveforms is independent of blood pressure measurement location in an in silico population.在计算机模拟人群中,基于机器学习从外周波形估计心输出量与血压测量位置无关。
Sci Rep. 2025 Jul 15;15(1):25562. doi: 10.1038/s41598-025-10492-2.
2
A Potential Predictor of Proximal Flow-Diverter Stent Jailed Artery Stenosis: Distal to Proximal Artery Diameter Ratio.近端血流分流支架置入后动脉狭窄的潜在预测指标:远端与近端动脉直径比
Int J Med Sci. 2025 Jun 20;22(12):3044-3052. doi: 10.7150/ijms.115452. eCollection 2025.
3
Testing an inverse modeling approach with gradient boosting regression for stroke volume estimation using patient thermodilution data.
使用患者热稀释数据,采用梯度提升回归的逆建模方法进行每搏输出量估计的测试。
Front Artif Intell. 2025 Mar 18;8:1530453. doi: 10.3389/frai.2025.1530453. eCollection 2025.
4
Fast simulation of hemodynamics in intracranial aneurysms for clinical use.用于临床的颅内动脉瘤血流动力学快速模拟。
Acta Neurochir (Wien). 2025 Mar 3;167(1):56. doi: 10.1007/s00701-025-06469-9.
5
In silico validation of non-invasive arterial compliance estimation and potential determinants of its variability.非侵入性动脉顺应性估计及其变异性潜在决定因素的计算机模拟验证
Physiol Res. 2024 Dec 31;73(S3):S771-S780. doi: 10.33549/physiolres.935466.
6
Impact of arterial system alterations due to amputation on arterial stiffness and hemodynamics: a numerical study.截肢对动脉系统改变对动脉僵硬度和血液动力学的影响:数值研究。
Sci Rep. 2024 Oct 22;14(1):24852. doi: 10.1038/s41598-024-75881-5.
7
Simulating impaired left ventricular-arterial coupling in aging and disease: a systematic review.模拟衰老和疾病中左心室-动脉耦联的损伤:系统评价。
Biomed Eng Online. 2024 Feb 22;23(1):24. doi: 10.1186/s12938-024-01206-2.
8
Risk factor analysis of changes in blood flow in the A1 segment of the anterior cerebral artery after flow-diverter coverage of it.血流导向装置覆盖大脑前动脉 A1 段后其 A1 段血流变化的危险因素分析。
Neurosurg Rev. 2024 Feb 5;47(1):74. doi: 10.1007/s10143-024-02306-2.
9
An anatomically detailed arterial-venous network model. Cerebral and coronary circulation.一个解剖学细节丰富的动静脉网络模型。脑循环和冠状动脉循环。
Front Physiol. 2023 Jun 26;14:1162391. doi: 10.3389/fphys.2023.1162391. eCollection 2023.
10
The Impact of Left Ventricular Performance and Afterload on the Evaluation of Aortic Valve Stenosis: A 1D Mathematical Modeling Approach.左心室功能和后负荷对主动脉瓣狭窄评估的影响:一种一维数学建模方法。
Bioengineering (Basel). 2023 Mar 28;10(4):425. doi: 10.3390/bioengineering10040425.