TAVR leaflet fatigue modeling using physiological wear data
使用生理磨损数据进行 TAVR 小叶疲劳建模
基本信息
- 批准号:10517636
- 负责人:
- 金额:$ 14.33万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2022
- 资助国家:美国
- 起止时间:2022-08-09 至 2024-07-31
- 项目状态:已结题
- 来源:
- 关键词:AddressAdoptedAgingAnimalsAortic Valve StenosisAreaArteriesBiomechanicsBioprosthesis deviceCardiovascular systemCellsClinicClinicalCommunication ResearchComplicationComputer ModelsCore FacilityDataData CorrelationsDeveloped CountriesDevelopmentDevicesDoctor of PhilosophyElectron MicroscopyElementsEngineeringEnvironmentEvaluationExposure toFacultyFailureFatigueFiberFinite Element AnalysisFrequenciesFutureGeometryGoalsGrantHealth ResourcesHeart Valve DiseasesImaging TechniquesIn VitroIndustryLaboratory ResearchLinkLocationLongevityMechanicsMedical DeviceMedical ImagingMedicineMelissaMentorsMethodsMicroscopyModelingMorbidity - disease rateOperative Surgical ProceduresOutcomePatient imagingPatientsPerformancePhysiologicalPopulationPositioning AttributePostdoctoral FellowProceduresPropertyPublic HealthResearchResourcesRiskScanning Electron MicroscopySiteStructureTechniquesTestingThickThinnessTissue EngineeringTissuesTrainingTransmission Electron MicroscopyUniversitiesValidationVariantWorkWritingX-Ray Computed TomographyX-Ray Medical Imagingaortic valveaortic valve disorderaortic valve replacementbasecalcificationcareerclinical applicationdata modelingdesigndigital imagingexperiencehemodynamicsimage processingimprovedin silicoin vivointerestloss of functionmaterial fatiguemechanical propertiesmicroCTmicroscopic imagingminimally invasivemortalitymultiphoton microscopypersonalized medicinepost-doctoral trainingpressureresearch facilitysimulationskillssuccesstenure trackvalve replacement
项目摘要
Project Summary/Abstract
The candidate holds a Ph.D. in Mechanical Engineering from the University of Sheffield UK and is currently a
Research Associate at Mayo Clinic. His research interests are in the field of cardiovascular computational
biomechanics with his postdoctoral work investigating the mechanics of atherosclerotic arteries and aortic
valves with finite element modeling. Through completion of his postdoctoral training the candidate aims to
transition from mentored to independent research and begin a tenure track faculty position at a major research
university. The K99/R00 mechanism provides the perfect opportunity for accomplishing this goal.
The candidate’s primary mentor, Dr. Amir Lerman, has extensive research experience and has operated a
research laboratory successfully throughout his career and has made numerous contributions to several fields
of cardiovascular medicine. Dr. Melissa Young has extensive industry and academic experience in
replacement aortic valve design and testing. Dr. Dan Dragomir-Daescu, a co-mentor on this project, also has
both academic and industry experience in the development and evaluation of medical devices. The final co-
mentor, Prof. Jeffery Salisbury has vast experience in microscopy techniques and is the director of the
Microscopy and Cell Analysis core facility at Mayo Clinic and also has significant academic experience.
Working with his mentors, the candidate will train in fatigue mechanics, medical image processing, microscopy,
and computational modeling. The candidate will also train in other essential skills including communication of
research findings, mentoring, grantsmanship, scientific writing, and project management. Mayo also offers a
variety of research resources and facilities to assist this research including core facilities such as the
Microscopy and Cell Analysis Core, the X-Ray Imaging Core, and the Materials and Structural Testing Core.
The proposed project addresses the important clinical need of TAVR valve longevity through development of
a fatigue computational model. The planned work will utilize mechanical testing data and various imaging
techniques to provide a link between the macrostructural mechanical properties and the microstructural fiber
damage from physiological fatigue loading. This data will then be utilized to develop a fatigue finite element
model that more accurately predicts the valve mechanical wear. This validated model can then be utilized
clinically with medical imaging of patient vasculature to perform personalized simulations of valve performance
to improve valve selection and sizing to improve longevity. Additionally, the proposed model can be used to
enhance regulatory approval allowing multiple designs to be evaluated for fatigue performance and longevity in
simulated physiological environments. These applications can improve the valve longevity, reducing the
frequency of valve replacement significantly reducing the burden of aortic valve disease.
项目概要/摘要
该候选人拥有英国谢菲尔德大学机械工程博士学位,目前是一名
他的研究兴趣是心血管计算领域。
生物力学,他的博士后工作研究动脉粥样硬化动脉和主动脉的力学
通过完成博士后培训,候选人的目标是进行有限元建模。
从指导性研究过渡到独立研究,并开始在主要研究中担任终身教职
K99/R00机制为实现这一目标提供了绝佳的机会。
候选人的主要导师 Amir Lerman 博士拥有丰富的研究经验,并经营过一家
研究实验室在他的整个职业生涯中取得了成功,并在多个领域做出了众多贡献
Melissa Young 博士在心血管医学领域拥有丰富的行业和学术经验。
该项目的联合导师 Dan Dragomir-Daescu 博士也参与了置换主动脉瓣的设计和测试。
医疗器械开发和评估方面的学术和工业经验。
导师 Jeffery Salisbury 教授在显微镜技术方面拥有丰富的经验,是该实验室的主任
梅奥诊所的显微镜和细胞分析核心设施,也拥有丰富的学术经验。
候选人将与导师一起接受疲劳力学、医学图像处理、显微镜、
候选人还将接受其他基本技能的培训,包括沟通能力。
梅奥还提供研究成果、指导、资助、科学写作和项目管理。
协助这项研究的各种研究资源和设施,包括核心设施,例如
显微镜和细胞分析核心、X 射线成像核心以及材料和结构测试核心。
拟议项目通过开发 TAVR 瓣膜寿命来满足重要的临床需求
计划的工作将利用机械测试数据和各种疲劳成像。
提供宏观结构机械性能和微观结构纤维之间联系的技术
然后,该数据将用于开发疲劳有限元。
然后可以使用该经过验证的模型更准确地预测阀门机械磨损。
临床上利用患者脉管系统的医学成像对瓣膜性能进行个性化模拟
此外,所提出的模型还可用于改进阀门选择和尺寸确定以延长使用寿命。
加强监管审批,允许评估多种设计的疲劳性能和寿命
模拟生理环境。这些应用可以延长阀门的使用寿命,减少
瓣膜置换频率显着减轻主动脉瓣疾病的负担。
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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Christopher Noble其他文献
Christopher Noble的其他文献
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{{ truncateString('Christopher Noble', 18)}}的其他基金
TAVR leaflet fatigue modeling using physiological wear data
使用生理磨损数据进行 TAVR 小叶疲劳建模
- 批准号:
10680609 - 财政年份:2022
- 资助金额:
$ 14.33万 - 项目类别:
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