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TAVR leaflet fatigue modeling using physiological wear data

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:
10517636
负责人:
Christopher Noble
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
项目状态:
已结题
起止时间:
2022-08-09 至 2024-07-31
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

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中文摘要
翻译
项目摘要/摘要 应聘者拥有英国谢菲尔德大学机械工程博士学位,目前是 梅奥诊所副研究员。他的研究兴趣是心血管计算领域 生物力学与他的博士后工作,研究动脉粥样硬化动脉和主动脉的力学 对阀门进行有限元建模。通过完成博士后培训,候选人的目标是 从有指导的研究过渡到独立研究,并开始在一项主要研究中担任终身教职 上大学。K99/R00机制为实现这一目标提供了完美的机会。 这位候选人的主要导师阿米尔·勒曼博士拥有丰富的研究经验,并经营着一项 研究实验室在他的整个职业生涯中都取得了成功,并在几个领域做出了许多贡献 心血管内科。梅丽莎·杨博士在以下领域拥有广泛的行业和学术经验 置换主动脉瓣的设计和测试。Dan Dragomir-Daescu博士,这个项目的共同导师,也有 在医疗器械的开发和评估方面具有学术和行业经验。最后的合作- 导师杰弗里·索尔兹伯里教授在显微镜技术方面拥有丰富的经验,是 他是梅奥诊所显微镜和细胞分析中心的核心机构,也拥有丰富的学术经验。 与他的导师合作,候选人将接受疲劳力学、医学图像处理、显微镜、 和计算建模。应聘者还将接受其他基本技能的培训,包括 研究成果、指导、资质、科学写作和项目管理。梅奥还提供了一个 协助这项研究的各种研究资源和设施,包括核心设施 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。 拟议的项目解决了TAVR瓣膜长寿的重要临床需求 疲劳计算模型。计划中的工作将利用机械测试数据和各种成像 在宏观结构机械性能和微观结构纤维之间提供链接的技术 生理疲劳负荷造成的损伤。然后这些数据将被用来开发疲劳有限元 更准确地预测阀门机械磨损的模型。然后可以使用这个经过验证的模型 临床上使用患者血管系统的医学成像来执行瓣膜性能的个性化模拟 改进阀门的选择和通径,以延长使用寿命。此外,所提出的模型还可以用于 加强监管审批,允许对多个设计进行疲劳性能和寿命评估 模拟的生理环境。这些应用可以提高阀门的寿命,减少 瓣膜置换术的频率明显减轻了主动脉瓣疾病的负担。
英文摘要
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.
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TAVR leaflet fatigue modeling using physiological wear data
  • 批准号:
    10680609
  • 项目类别:
  • 资助金额:
    $14.33万
  • 财政年份:
    2022
  • 负责人:
    Christopher Noble
  • 依托单位:
海外基金