Arteries and Algorithms: Computational physiological flow and arterial disease modelling

动脉和算法：计算生理流和动脉疾病模型

• 批准号: EP/C539834/1
• 负责人: Spencer Sherwin
• 金额: $ 45.47万
• 依托单位: Imperial College London
• 依托单位国家: 英国
• 项目类别: Fellowship
• 财政年份: 2006
• 资助国家: 英国
• 起止时间: 2006 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FC539834%2F1
• 关键词: Arteries; Algorithms; Computational; physiological; flow

Cardiovascular disease, including atherosclerosis, accounts for almost 50% of deaths in the western world. Our understanding of the causes and progression of atherosclerosis is relatively limited and, in many cases, both diagnosis and treatment require invasive patient specific techniques.An enhanced understanding of the physiological factors related to cardiovascular disease would likely to lead to significant advances in treatment as well as increased accuracy in diagnosis and prognosis. Developing this understanding is particularly difficult because of the complexities of the flow in human arterial networks. These are impossible to understand using existing medical data and expertise alone.Recent developments in numerical methods including greater opportunities for wider use of computational simulation and visualisation can provide the necessary link between patient specific imaging data, physics and biology, to provide a platform for this increased understanding. The impact of the use of these techniques could revolutionise medical science and practice in the way imaging modalities such as X-ray, ultrasound and magnetic resonance have done in succession over the past 40 years.The aim of this research initiative is, through close collaboration with vascular biologists, physiologists and surgeons, to develop a simulation environment capable of capturing the multi-scale, hierarchically coupled nature of both physiological and pathological arterial networks. The research programme is focused around three projects, two physiological incorporating the multiscale nature of arterial networks and one numerical: The first project will apply modelling of the three-dimensional fluid dynamics at arterial branches to improve understanding of the causal relationship of blood flow to arterial disease such as atherosclerosis. The second project is directed towards understanding and modelling pulsatile flow wavefoms in patient specific vascular networks using one-dimensional reduced models. The third project focuses on development of advanced mathematical and numerical techniques, such as uncertainty modelling and spectral/hp element methods, to facilitate such modelling.

心血管疾病，包括动脉粥样硬化，几乎占西方世界死亡人数的50%。我们对动脉粥样硬化的病因和进展的了解相对有限，在许多情况下，诊断和治疗都需要侵入性的患者特有的技术。加强对与心血管疾病相关的生理因素的了解，可能会导致治疗的重大进步以及诊断和预后的准确性。由于人体动脉网络中流动的复杂性，发展这种理解特别困难。仅使用现有的医学数据和专业知识是不可能理解这些的。数值方法的最新发展，包括更广泛地使用计算模拟和可视化的机会，可以在患者特定的成像数据、物理和生物学之间提供必要的联系，为这种理解的增加提供平台。这些技术的使用可能会以X光、超声波和磁共振等成像手段在过去40年中相继完成的方式对医学科学和实践产生革命性的影响。这项研究的目的是通过与血管生物学家、生理学家和外科医生的密切合作，开发一种能够捕捉生理和病理动脉网络的多尺度、分级耦合性质的模拟环境。研究方案围绕三个项目展开，两个生理学项目结合动脉网络的多尺度性质，一个数值项目：第一个项目将应用动脉分支的三维流体动力学模型，以提高对血液流动与动脉疾病(如动脉硬化)的因果关系的理解。第二个项目是使用一维简化模型来理解和模拟患者特定血管网络中的脉动流波峰。第三个项目侧重于发展先进的数学和数值技术，如不确定性建模和谱/惠普单元法，以促进这种建模。

项目成果

Pulse wave propagation in a model human arterial network: Assessment of 1-D visco-elastic simulations against in vitro measurements.

人体动脉网络模型中的脉搏波传播：根据体外测量评估一维粘弹性模拟。

• DOI: 10.1016/j.jbiomech.2011.05.041
• 发表时间: 2011-08-11
• 期刊: JOURNAL OF BIOMECHANICS
• 影响因子: 2.4
• 作者: Alastruey, Jordi;Khir, Ashraf W.;Matthys, Koen S.;Segers, Patrick;Sherwin, Spencer J.;Verdonck, Pascal R.;Parker, Kim H.;Peiro, Joaquim
• 通讯作者: Peiro, Joaquim

Reply to 'cord clamp insult may predispose to SIDS'.

回复“脐带夹侮辱可能导致婴儿猝死综合症”。

• DOI: 10.1016/j.earlhumdev.2009.12.002
• 发表时间: 2010
• 期刊: Early human development
• 影响因子: 2.5
• 作者: Alastruey J

Convective instability and transient growth in steady and pulsatile stenotic flows

• DOI: 10.1017/s0022112008001717
• 发表时间: 2008-07-25
• 期刊: JOURNAL OF FLUID MECHANICS
• 影响因子: 3.7
• 作者: Blackburn, H. M.;Sherwin, S. J.;Barkley, D.
• 通讯作者: Barkley, D.

Analysing the pattern of pulse waves in arterial networks: a time-domain study

• DOI: 10.1007/s10665-009-9275-1
• 发表时间: 2009-08-01
• 期刊: JOURNAL OF ENGINEERING MATHEMATICS
• 影响因子: 1.3
• 作者: Alastruey, J.;Parker, K. H.;Sherwin, S. J.
• 通讯作者: Sherwin, S. J.