Open Knee(s): Virtual Biomechanical Representations of the Knee Joint

开放膝关节：膝关节的虚拟生物力学表示

• 批准号: 8852142
• 负责人: AHMET ERDEMIR
• 金额: $ 51.35万
• 依托单位: CLEVELAND CLINIC LERNER COM-CWRU
• 依托单位国家: 美国
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-09-16 至 2016-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8852142
• 关键词: Accountability; Address; Adoption; Age; Anatomy; Basic Science; Biomechanics; Biomedical Computing; Biomedical Research; Body Weight; Cartilage; Clinic; Clinical; Clinical Research; Cloud Computing; Collaborations; Communities; Complex; Computer Simulation; Computer software; Connective Tissue; Coupled; Crowding; Data; Degenerative polyarthritis; Development; Disease; Elderly; Elements; Engineering; Environment; Evaluation; Exhibits; Feedback; Finite Element Analysis; Foundations; Functional disorder; Future; Gender; Goals; Health; High Performance Computing; High Prevalence; Implant; Individual; Industry; Injury; International; Investigation; Joints; Kinetics; Knee; Knee joint; Knowledge; Link; Locomotion; Lower Extremity; Magnetic Resonance Imaging; Mechanics; Meniscus structure of joint; Mining; Modeling; Movement; Muscle function; Musculoskeletal; Nature; Operative Surgical Procedures; Orthopedics; Pathology; Pathway interactions; Prevalence; Process; Property; PubMed; Publications; Reporting; Reproducibility; Research; Research Infrastructure; Research Personnel; Resolution; Role; Science; Solutions; Specimen; Structure; Testing; Therapeutic Intervention; Tissues; United States; United States National Institutes of Health; Voice; Work; base; biomechanical model; clinical decision-making; cloud based; computing resources; data modeling; design; foot; infrastructure development; interest; kinematics; knee mechanics; ligament injury; model building; model development; models and simulation; open source; reconstruction; research study; response; simulation; therapy design; tool; tool development; virtual

DESCRIPTION (provided by applicant): The biomechanics of the knee has been the target of decades of scientific and clinical studies due to its significant role in locomotion. The joint exhibits high rates of injury and pathological conditions, e.g. osteoarthritis, a debilitating disese influencing more than 26 million only in the United States. As in any other musculoskeletal joint, the mechanical response of the joint, responsible for its function during activities of daily livin, is the result of the complex anatomical construction, the mechanical properties of its tissue structures, and the mechanical interactions between these components. Computational modeling has been utilized broadly: in a descriptive fashion, to mine experimental data with the goal of understanding knee function; and in a predictive fashion, to design implants and assess surgical and therapeutic interventions. Nonetheless, high fidelity models, not only representative of the specimen-specific anatomy but also capable of reproducing specimen-specific joint response and specimen-specific tissue mechanical properties, do not exist. In addition, specimen-specific models, addressing differences in genders, ages, and pathologies, are not available. Development of robust and reliable knee joint models is a daunting task. In silico representations should be supported by elaborate mechanical testing at joint and tissue levels not only to build the models but also to establish confidence in them. In this collaboration with National Centers for Biomedical Computing, our goal is to establish a platform, supported by crowd-sourcing and cloud computing, to enable development of high fidelity knee models. Modeling efforts, while generally applicable to any musculoskeletal joint, will target at young, elderly, and osteoarthritic knees of different genders, supported by comprehensive anatomical and mechanical data acquired in a specimen-specific manner at multiple spatial scales. To accomplish this goal, we will characterize the joint kinetic-kinematic response, and the material properties of the joint's substructures. Anatomical reconstruction will be based on high resolution magnetic resonance imaging. For project management and also to allow community input, model development and dissemination efforts will be supported by the collaborative infrastructure provided by SimTk.org of Simbios, NIH Center for Biomedical Computation at Stanford. Finite element representations of the knee joint will be developed, with the analysis conducted by FEBio, finite elements for biomechanics. To give the community the opportunity to conduct simulations, a computation infrastructure will be provided by a gateway to XSEDE, Extreme Science and Engineering Discovery Environment. An advisory board of clinicians and knee modeling experts will routinely confirm the direction of the project. Adoption of open development practices, utilization of freely accessible software, and enabling cloud-based simulations will provide the opportunity for community-based development and testing of the models. Accessibility to experimentally confirmed comprehensive knee models will provide utmost reusability for the exploration of healthy and diseased knee mechanics and for establishing biomechanical management strategies to accommodate knee dysfunction.

描述（由申请人提供）：由于膝关节在运动中的重要作用，其生物力学一直是数十年科学和临床研究的目标。关节表现出高的损伤率和病理状况，例如骨关节炎，一种仅在美国影响超过2600万人的衰弱性疾病。与任何其他肌肉骨骼关节一样，关节的机械响应（负责其在日常生活活动中的功能）是复杂的解剖结构、其组织结构的机械特性以及这些组件之间的机械相互作用的结果。计算建模已被广泛使用：以描述性方式挖掘实验数据，以了解膝关节功能;以预测性方式设计植入物并评估手术和治疗干预。尽管如此，高保真度模型，不仅代表了骨特异性解剖结构，而且能够再现骨特异性关节反应和骨特异性组织机械性能，不存在。此外，还没有针对性别、年龄和病理差异的特定患者模型。建立可靠的膝关节模型是一项艰巨的任务。计算机模拟表示应得到关节和组织水平的详细机械测试的支持，不仅要建立模型，还要建立对模型的信心。在与国家生物医学计算中心的合作中，我们的目标是建立一个由众包和云计算支持的平台，以实现高保真膝盖模型的开发。建模工作，而一般适用于任何肌肉骨骼关节，将针对年轻人，老年人，和不同性别的骨关节炎膝关节，支持全面的解剖和力学数据，在多个空间尺度上以特定的方式获得。为了实现这一目标，我们将联合动力学-运动学响应的特点，和联合的子结构的材料属性。解剖重建将基于高分辨率磁共振成像。对于项目管理和允许社区输入，模型开发和传播工作将得到斯坦福大学NIH生物医学计算中心Simbios的SimTk.org提供的协作基础设施的支持。将开发膝关节的有限元表示，并由FEBio进行分析，生物力学有限元。为了让社区有机会进行模拟，将通过XSEDE（极限科学和工程发现环境）的网关提供计算基础设施。由临床医生和膝关节建模专家组成的咨询委员会将定期确认项目的方向。采用开放式开发做法、利用可免费访问的软件以及启用基于云的模拟将为基于社区的模型开发和测试提供机会。获得实验证实的综合膝关节模型将为探索健康和患病的膝关节力学以及建立适应膝关节功能障碍的生物力学管理策略提供最大的可重用性。