A Fluid-Structure Interaction Method for Patient-Specific Cardiovascular Modeling
A Fluid-Structure Interaction Method for Patient-Specific Cardiovascular Modeling
批准号:
8115487
负责人:
ENDER A FINOL
金额:
$9.27万
依托单位国家:
美国
项目类别:
财政年份:
2009
资助国家:
美国
项目状态:
已结题
起止时间:
2009-05-01 至 2012-06-30
关键词:
Abdominal Aortic AneurysmAccountingAddressAlgorithmsAneurysmAwardBackBenchmarkingBiological ProcessBiomechanicsBlood VesselsBlood flowCaliberCardiovascular DiseasesCardiovascular ModelsCardiovascular systemCase StudyCine Magnetic Resonance ImagingClinicalClinical ManagementClinical ResearchCollagen FiberComplexComputational algorithmComputing MethodologiesCoupledCouplingDataDevelopmentDiagnosisDimensionsDiseaseEnvironmentFinite Element AnalysisFutureGluesGoalsGrowthHydrostatic PressureHypoxiaImageIndividualInterventionLinkLiquid substanceMagnetic Resonance ImagingMeasuresMechanical StressMechanicsMediatingMethodologyMethodsModelingOperative Surgical ProceduresOrganOutcomePatientsPerformanceProcessResearchRiskRisk AssessmentRuptureRuptured Abdominal Aortic AneurysmRuptured AneurysmSimulateSolidSolutionsStagingStressStructureStudy modelsSystemTechniquesTechnologyThrombusTimeX-Ray Computed Tomographyabdominal aortabasecomputerized toolsdriving forceelectric impedanceimage reconstructionimprovedin vivomathematical modelnovelpressurepreventprospectivepublic health relevancereconstructionrepairedresearch studysimulationsoft tissuetool
中文摘要
描述(由申请人提供):在过去的几年中,我们对涉及流体-结构相互作用的生物过程的基本机制的理解有了巨大的进步。作为一个必要的合作伙伴,在解释这些机制的数学建模,分析和模拟技术方面也有了平行的发展。虽然这些方法有助于增强我们理解复杂过程的能力(例如血流与动脉壁的相互作用)当与传统的MRI和CT扫描图像重建工具结合使用时,仍然非常需要有效的计算方法,其不仅可以帮助定性地模拟生理现实情况,而且还可以帮助分析和研究三个-定量地对这些过程进行患者特异性的三维建模。这些将是本提案的重点,并在大血管力学领域中得到证明,特别是解决腹主动脉瘤破裂风险评估问题。该提案的主要目标是开发、实施、验证和应用一种有效的计算方法,用于分析具有多种材料的域的强耦合流体-结构相互作用(FSI)建模。这种方法的应用将集中在评估本地AAA的瞬态生物力学环境。为实现这一目标,提出了以下具体目标:(1)开发并验证高效、强耦合的流体-结构相互作用算法;(2)将FSI计算工具应用于患者特定AAA临床研究,并评价相关动态血管力学的性能。
公共卫生相关性:该奖项将使一个计算方法的发展,在器官规模的血流和血管壁之间的动态相互作用建模。我们将应用该方法对腹主动脉瘤(AAA)的生物力学环境进行无创动态评估。为此,我们将结合联合收割机临床成像和计算算法来重建患者特定的动脉瘤,并评估流动引起的壁应力和变形。这种方法有望大大提高未来心血管疾病管理中血管外科手术和血管内治疗的术前规划能力。
英文摘要
DESCRIPTION (provided by applicant): In the last few years, there have been dramatic advances in our understanding of fundamental mechanisms underlying biological processes involving fluid-structure interaction. As a necessary partner, there have been parallel developments in mathematical modeling, analysis and simulation techniques to explain these mechanisms. While these methods help enhance our ability to understand complex processes (such as the interaction of blood flow with the arterial wall) when used in conjunction with traditional MRI and CT scan image reconstruction tools, there is still a great need for efficient computational methods that can not only help simulate physiologically realistic situations qualitatively but also help analyze and study three-dimensional patient specific modeling of such processes quantitatively. These will be the focus of this proposal with a demonstrated application in the field of large blood vessel mechanics, specifically to address the issue of rupture risk assessment of abdominal aortic aneurysms. The primary goal of this proposal is to develop, implement, validate and apply an efficient computational methodology for analyzing strongly-coupled fluid-structure interaction (FSI) modeling for domains with multiple materials. The application of this methodology will be focused on the assessment of the transient biomechanical environment of native AAAs. The following specific aims are proposed to accomplish this goal: (1) Develop and validate an efficient, strongly-coupled fluid-structure interaction algorithm and (2) Apply the FSI computational tool to a patient-specific AAA clinical research study and evaluate the performance of the associated dynamic vascular mechanics.
PUBLIC HEALTH RELEVANCE: This award will enable the development of a computational methodology for modeling the dynamic interaction between blood flow and the vessel wall at the organ scale. We will apply the method to non-invasively evaluate the biomechanical environment of abdominal aortic aneurysms (AAAs) dynamically. To this end, we will combine clinical imaging with computational algorithms to reconstruct patient-specific aneurysms and evaluate the flow-induced wall stresses and deformation. This methodology is expected to greatly enhance the presurgical planning capabilities of vascular surgeries and endovascular therapies in the future management of cardiovascular diseases.
期刊论文(1)
专著(0)
科研奖励(0)
会议论文
DOI:
10.1016/j.medengphy.2013.03.005
发表时间:
2013-09
期刊:
Medical engineering & physics
影响因子:
2.2
作者:
[Zhang H, Kheyfets VO, Finol EA]
通讯作者:
Finol EA
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