A Multi-Scale Finite Element Musculoskeletal Modeling Framework Applied to Curren
应用于当前的多尺度有限元肌肉骨骼建模框架
基本信息
- 批准号:8705909
- 负责人:
- 金额:$ 24.14万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2012
- 资助国家:美国
- 起止时间:2012-08-01 至 2016-07-31
- 项目状态:已结题
- 来源:
- 关键词:AccountingActivities of Daily LivingAddressAnimalsBedsCadaverCartilageClinicalComputer SimulationDataDevelopmentDisciplineDiseaseElementsEngineeringEvaluationFinite Element AnalysisHumanHuman ActivitiesHuman bodyImplantIn VitroIndividualIndustryInjuryJointsKneeKnee jointKnowledgeLaboratoriesLigamentsLower ExtremityMeasurementMechanicsMedicineMethodsModelingMotionMuscleMusculoskeletalMusculoskeletal SystemOperative Surgical ProceduresOrthopedicsPerformancePhysical activityPropertyProsthesisProtocols documentationRecording of previous eventsRehabilitation therapyResearchResearch DesignResearch PersonnelShapesSkeletonStatistical ModelsStressStructural ModelsStructureTestingTimeTissuesTreatment outcomeValidationWorkdesignexperiencehuman tissueimprovedin vivoindustry partnerinnovationjoint loadingjournal articlemathematical modelmimicrymodels and simulationnovelresearch studysimulation
项目摘要
DESCRIPTION (provided by applicant): The objectives of this proposal are to create a multi-scale, finite element (FE) model of the human body that combines dynamic muscle modeling and structural FE analysis into a single framework, to validate the model at multiple scales by comparison to in vitro and in vivo data, and to apply the modeling framework to subject- specific analyses of the natural and TKR implanted knee during activities of daily living. The FE framework allows for interchangeable rigid and deformable representations of the tissues, which enables stress and strain evaluation in muscle, ligament and cartilage structures. Current computational models of the musculoskeletal system do not incorporate into a single framework the multi-scale complexity of the musculoskeletal system, the force and redundancy of the many muscles spanning the joints, and the deformability of the tissues. Due in part to these limitations, computer models and simulations are not widely applied in orthopedics and musculoskeletal research. The specific aims of this proposal will address these limitations and accelerate innovation in human modeling and simulation by opening a new path for more realistic representation of human tissue. For the first time, muscle forces for test subjects will e predicted by optimization within a single multi-scale deformable modeling framework. Significantly, accurate knowledge of the forces, stresses and strains transmitted to the tissues cuts across many scales and disciplines. This ground-breaking initiative will help engineers, clinicians, and researchers to create and improve the design of surgical procedures, rehabilitation protocols, prosthetics and implants, and improve understanding of injury and disease.
描述(申请人提供):本提案的目标是创建一个多尺度的人体有限元(FE)模型,该模型将动态肌肉建模和结构FE分析结合到一个框架中,通过与体外和体内数据进行比较,在多个尺度上验证模型,并将建模框架应用于自然膝关节和TKR植入膝关节在日常生活活动中的受试者特定分析。FE框架允许组织的可互换刚性和可变形表示,这使得能够在肌肉、韧带和软骨结构中进行应力和应变评估。目前的计算模型的肌肉骨骼系统不纳入一个单一的框架,多尺度的复杂性的肌肉骨骼系统,力和冗余的许多肌肉跨越关节,和变形的组织。部分由于这些局限性,计算机模型和模拟没有广泛应用于骨科和肌肉骨骼研究。该提案的具体目标将解决这些限制,并通过为更逼真的人体组织表示开辟新的道路来加速人体建模和仿真的创新。这是第一次,测试对象的肌肉力量将在一个单一的多尺度可变形建模框架内通过优化来预测。重要的是,对传递到组织的力、应力和应变的准确了解跨越许多尺度和学科。这一突破性的举措将帮助工程师、临床医生和研究人员创建和改进外科手术、康复方案、假肢和植入物的设计,并提高对损伤和疾病的理解。
项目成果
期刊论文数量(0)
专著数量(0)
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专利数量(0)
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KEVIN B SHELBURNE其他文献
KEVIN B SHELBURNE的其他文献
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{{ truncateString('KEVIN B SHELBURNE', 18)}}的其他基金
A Lower Extremity Neuromusculoskeletal Human Simulator: Addressing Multiscale Challenges
下肢神经肌肉骨骼人体模拟器:应对多尺度挑战
- 批准号:
10231075 - 财政年份:2018
- 资助金额:
$ 24.14万 - 项目类别:
A Multi-Scale Finite Element Musculoskeletal Modeling Framework Applied to Curren
应用于当前的多尺度有限元肌肉骨骼建模框架
- 批准号:
8902141 - 财政年份:2012
- 资助金额:
$ 24.14万 - 项目类别:
A Multi-Scale Finite Element Musculoskeletal Modeling Framework Applied to Curren
应用于当前的多尺度有限元肌肉骨骼建模框架
- 批准号:
8517719 - 财政年份:2012
- 资助金额:
$ 24.14万 - 项目类别:
A Multi-Scale Finite Element Musculoskeletal Modeling Framework Applied to Curren
应用于当前的多尺度有限元肌肉骨骼建模框架
- 批准号:
8350729 - 财政年份:2012
- 资助金额:
$ 24.14万 - 项目类别:
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