Computational Modeling of Mechanical Heart Valves
机械心脏瓣膜的计算模型
基本信息
- 批准号:7515123
- 负责人:
- 金额:$ 46.18万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2003
- 资助国家:美国
- 起止时间:2003-05-01 至 2012-06-30
- 项目状态:已结题
- 来源:
- 关键词:AccountingAddressAdverse effectsAnatomyAnticoagulationAortaArtificial HeartAutomobile DrivingBloodBlood CellsBlood PlateletsBlood VesselsCardiacCardiovascular systemCine Magnetic Resonance ImagingClinicalCoagulation ProcessComplexComputational TechniqueComputer SimulationComputer softwareComputing MethodologiesConditionCoupledCouplingDataDatabasesDepthDevelopmentDevicesDiastoleElementsFutureGrantHeartHeart Valve ProsthesisHeart ValvesHemolysisHybridsImageImaging technologyImplantIn VitroIndividualInvestigationLaser-Doppler VelocimetryLeadLeftLeft ventricular structureLifeLiquid substanceMagnetic Resonance ImagingMapsMeasuresMedicalMethodologyMethodsModelingMorphologic artifactsMotionMyocardiumOperative Surgical ProceduresOrganOutpatientsPatient SimulationPatientsPatternPerformancePersonal SatisfactionPhasePhotogrammetryPhysicsPhysiologicalPhysiologyPlaguePlant RootsPositioning AttributePrincipal InvestigatorProsthesisProsthesis DesignPublic HealthPumpPurposeResolutionRiskSaint Jude Children&aposs Research HospitalSamplingScanningSimulateSliceSourceStagingStentsStressStructureSystoleTechniquesTechnologyTherapeutic EmbolizationThromboembolismThrombusTimeTranslational ResearchUSA GeorgiaUncertaintyValidationVelocimetriesVentricularWestern Asia Georgiaaortic archbaseclinically relevantcomputer frameworkcomputerized toolsdaydesignexperiencefluid flowhemodynamicsimage processingimplantationimprovedkinematicsmethod developmentmodel developmentnovelparticleprogramsquantumreconstructionresearch studyresidencesimulationsizestatisticstoolventricular assist devicevirtual
项目摘要
DESCRIPTION (provided by applicant): Prosthetic heart valves (PHV) have been in use for over four
decades to replace diseased heart valves. However, present-day designs are far from ideal and
significant complications such as hemolysis, plateletdestruction, and thromboembolism often arise after
their implantation, requiring aggressive life long anticoagulation therapy which in turn carries serious
side effects. Improving current PHV designs, however, needs highly accurate flow quantification - a
task not achievable until recently due to the complex and intricate geometries of PHVs combined with
the lack of an appropriate computational methodology to tackle the complexities of PHV flows. Novel
fluid-structure interaction CFD tools have been successfully developed and validated in the current
grant. Along with numerous experimental studies, this numerical tool has yielded the first ever in depth
understanding of the complex physics of PHV flows under physiological conditions and at hemodynamically relevant scales. The proposed competing renewal takes the next step towards
achieving the development of a computational framework for improving valve prosthesis designs on a
patient-specific basis. Current Magnetic Resonance Imaging (MRI) technology makes it possible to
obtain full 3D moving geometries at resolution sufficiently high to prescribe aorta and ventricular wall
motions as boundary conditions for the numerical model. By coupling high resolution CFD techniques
with the latest advancements in MRI technology, a powerful and clinically useful hemodynamic/fluid
dynamic analysis tool could be developed for the benefit of PHV recipients.
The overall hypothesis driving this competing renewal is: High resolution, imaging-based Computational
Fluid Dynamics (CFD) modeling can be used to develop viable patient-specific hemodynamic tools
where cardiac devices (not only limited to heart valve prostheses) may be evaluated prior to patient
treatment. This hypothesis will be addressed in the following four aims:
Aim 1: Development of CFD tools for left ventricle/aorta configuration
Aim 2: In vitro experiments for validation in a phantom left ventricle/aorta configuration with moving
boundaries
Aim 3: Develop image processing methods for reconstruction of anatomically accurate moving ventricle
and aorta geometries
Aim 4: Preliminary application of the computational tools for patient simulation and analysis Completion
of this project will lead to a significant advancement in the field of heart valve flow analysis and the
development of fluid mechanically improved cardiac devices. PUBLIC HEALTH RELEVANCE:
Present day designs of prosthetic heart valves are far from ideal and significant risk of complications exist requiring patients to undergo aggressive life long anti-coagulation therapy which in turn carries
additional risks. In this competing renewal, the computational technology produced during the original
grant is further developed to be able to simulate flows in patient specific anatomies. This will be
achieved by obtaining actual geometries of patients using magnetic resonance imaging and coupling this information with a more sophisticated and improved version of the current computational fluid
dynamics software.
描述(由申请人提供):假肢(PHV)已使用了四个以上
几十年来代替患病的心脏瓣膜。但是,当今的设计远非理想和
溶血,血小板杀伤和血栓栓塞等明显并发症通常在
它们的植入,需要积极的寿命长抗凝治疗,而抗凝治疗又带来了严重
副作用。但是,改善当前的PHV设计需要高度准确的流量量化-A
由于PHV的复杂和复杂的几何形状,直到最近才无法完成任务
缺乏适当的计算方法来解决PHV流的复杂性。小说
流体结构交互CFD工具已成功开发和验证
授予。除了大量的实验研究外,该数值工具还产生了有史以来的第一个深度
在生理条件下和血液动力学相关的量表下,了解PHV流的复杂物理学的理解。拟议的竞争更新迈出了下一步
实现一个计算框架的开发,以改善阀门假体设计
特定于患者的基础。当前的磁共振成像(MRI)技术使得
在足够高的分辨率上获得完整的3D移动几何形状,以开出主动脉和心室壁
运动作为数值模型的边界条件。通过耦合高分辨率CFD技术
随着MRI技术的最新进步,一种功能强大且临床上有用的血液动力学/液体
可以为PHV接收者的利益而开发动态分析工具。
推动这种竞争更新的总体假设是:高分辨率,基于成像的计算
流体动力学(CFD)建模可用于开发可行的患者特异性血液动力学工具
在患者之前可以评估心脏设备(不仅限于心脏瓣膜假体)
治疗。该假设将在以下四个目标中解决:
目标1:开发用于左心室/主动脉配置的CFD工具
AIM 2:在幻影左心室/主动脉配置中进行验证的体外实验
边界
AIM 3:开发图像处理方法,用于重建解剖精确的移动心室
和主动脉几何形状
目标4:在患者模拟和分析完成中的计算工具的初步应用
该项目将导致心脏阀流量分析领域的显着进步和
流体的开发机械改善了心脏设备。公共卫生相关性:
当今的假肢心脏瓣膜设计远非理想的,并且存在明显的并发症的风险,要求患者接受积极的寿命长抗凝治疗,这又带有
额外的风险。在这种竞争的续约中,原始的计算技术
进一步开发了格兰特,以便能够模拟患者特定的解剖学中的流动。这将是
通过使用磁共振成像获得患者的实际几何形状,并将这些信息与当前计算流体的更复杂和改进的版本耦合来实现
动态软件。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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JOHN N OSHINSKI其他文献
JOHN N OSHINSKI的其他文献
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{{ truncateString('JOHN N OSHINSKI', 18)}}的其他基金
Coronary Fractional Flow Reserve Determined Using MRI and CFD
使用 MRI 和 CFD 确定冠状动脉血流储备分数
- 批准号:
9887194 - 财政年份:2020
- 资助金额:
$ 46.18万 - 项目类别:
Coronary Fractional Flow Reserve Determined Using MRI and CFD
使用 MRI 和 CFD 确定冠状动脉血流储备分数
- 批准号:
10579169 - 财政年份:2020
- 资助金额:
$ 46.18万 - 项目类别:
Symposium on Biomechanics in Vascular Biology and Cardiovascular Disease
血管生物学与心血管疾病生物力学研讨会
- 批准号:
8319858 - 财政年份:2012
- 资助金额:
$ 46.18万 - 项目类别:
Detection of Left Ventricular Dyssynchrony by Cross-Correlation Analysis
通过互相关分析检测左心室不同步
- 批准号:
7820899 - 财政年份:2009
- 资助金额:
$ 46.18万 - 项目类别:
Detection of Left Ventricular Dyssynchrony by Cross-Correlation Analysis
通过互相关分析检测左心室不同步
- 批准号:
7586809 - 财政年份:2008
- 资助金额:
$ 46.18万 - 项目类别:
Detection of Left Ventricular Dyssynchrony by Cross-Correlation Analysis
通过互相关分析检测左心室不同步
- 批准号:
7470458 - 财政年份:2008
- 资助金额:
$ 46.18万 - 项目类别:
Computational Modeling of Mechanical Heart Valves
机械心脏瓣膜的计算模型
- 批准号:
7898697 - 财政年份:2003
- 资助金额:
$ 46.18万 - 项目类别:
Computational Modeling of Mechanical Heart Valves
机械心脏瓣膜的计算模型
- 批准号:
7669142 - 财政年份:2003
- 资助金额:
$ 46.18万 - 项目类别:
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