Collaborative Research: Multi-Domain Computational Framework for Simulating Musculoskeletal Systems

合作研究：模拟肌肉骨骼系统的多领域计算框架

• 批准号: 0966535
• 负责人: Darryl Thelen
• 金额: $ 17.24万
• 依托单位: University of Wisconsin-Madison
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-09-01 至 2014-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0966535&HistoricalAwards=false
• 关键词: Collaborative; Research; Multi; Domain; Computational

PI: Thelen, Darryl G., Negrut, Dan, and Dhaher, YasinProposal Number: 0966535 & 0966742Individuals who experience knee ligament injuries are at high risk for early onset osteoarthritis, which can result in chronic pain and loss of function. It is believed that biomechanical factors may contribute to such long term problems, with abnormal cartilage loading inducing secondary micro-trauma and joint degeneration processes. The goal of this study is to establish a validated computational framework that would be used to investigate how injury (e.g. partial or full ligament tears), surgical (e.g. ligament reattachment sites, soft tissue tensioning) and rehabilitative (e.g. stretching, muscle re-training) factors can alter tissue loading during movement. Two research aims focus technical effort to meet the stated goal.The first aim involves the construction of subject-specific, finite element (FE) knee models from high resolution medical images. The FE models include continuum descriptions of connective tissues, and uniquely account for interactions between the tibio-femoral and patella-femoral joints. The second aim investigates a computational approach for predicting knee kinematics, ligament strains and cartilage loading during movement. A co-simulation framework is proposed in which finite element models are solved simultaneously with multi-body and musculo-tendon dynamics, thereby accounting for inherent interactions that exist between knee mechanics and movement dynamics. Bayesian analysis techniques will be used to both statistically calibrate and validate the computational models by comparing model predictions to in vivo measures obtained using dynamic magnetic resonance imaging.The outreach objectives are to: 1) educate medical practitioners about the inherent coupling between movement and internal joint mechanics that arise naturally during functional tasks, 2) engage minority high school students from Wisconsin and Illinois in Computational Science related activities. The research/education integration plan involves the development of case studies for the physiatry residency program at the Rehabilitation Institute of Chicago (RIC). By relying on the predictive simulation capability developed under this project, these studies will illustrate the importance of considering biomechanical factors when planning clinical interventions that address musculoskeletal injury and diseases. The high school outreach effort will involve a two tier approach that each year will (a) start by organizing seminars that popularize computational science, and (b) follow up by a one week residential summer program at the University of Wisconsin-Madison. The program, ?Promoting the Computational Science Initiative? (ProCSI), is aimed at under-represented high-school students.The intellectual merit of this study stems from combining advanced computational science, biomechanical modeling and statistical analysis techniques to establish a new computational framework for simulating musculoskeletal function. Broader impact will be achieved by promoting the use of biomechanical modeling to scientifically evaluate the clinical treatment of musculoskeletal injuries, and also by providing under-represented students an opportunity to use computational tools to address meaningful medical problems.

PI: Thelen, Darryl G., Negrut, Dan, and Dhaher, yasin，提案号：0966535 &amp； 0966742经历膝关节韧带损伤的个体患早发性骨关节炎的风险很高，这可能导致慢性疼痛和功能丧失。人们认为，生物力学因素可能会导致这种长期问题，异常的软骨负荷会导致继发性微创伤和关节退变过程。本研究的目的是建立一个有效的计算框架，用于研究损伤（如部分或全部韧带撕裂）、手术（如韧带再附着部位、软组织张力）和康复（如拉伸、肌肉再训练）因素如何改变运动过程中的组织负荷。两个研究目标集中于技术上的努力，以达到既定的目标。第一个目标涉及从高分辨率医学图像中构建特定主题的有限元（FE）膝关节模型。FE模型包括结缔组织的连续描述，并独特地解释了胫骨-股关节和髌骨-股关节之间的相互作用。第二个目的是研究在运动过程中预测膝关节运动学、韧带拉伤和软骨负荷的计算方法。提出了一种联合仿真框架，在该框架中，有限元模型与多体动力学和肌肉-肌腱动力学同时求解，从而考虑了膝关节力学与运动动力学之间存在的内在相互作用。贝叶斯分析技术将用于通过比较模型预测和使用动态磁共振成像获得的体内测量来统计校准和验证计算模型。外展目标是：1)教育医疗从业者关于在功能性任务中自然产生的运动和内部关节力学之间的内在耦合，2)吸引来自威斯康星州和伊利诺伊州的少数民族高中学生参与计算科学相关活动。研究/教育整合计划涉及芝加哥康复研究所（RIC）物理住院医师项目的案例研究发展。依靠在这个项目下开发的预测模拟能力，这些研究将说明在计划解决肌肉骨骼损伤和疾病的临床干预措施时考虑生物力学因素的重要性。高中的推广工作将包括两层方法，每年将(a)从组织普及计算科学的研讨会开始，(b)随后在威斯康星大学麦迪逊分校进行为期一周的住宿暑期项目。程序，？推动计算科学倡议？（ProCSI），针对的是代表性不足的高中生。本研究的智力优势在于将先进的计算科学、生物力学建模和统计分析技术结合起来，建立了一个新的模拟肌肉骨骼功能的计算框架。通过促进使用生物力学建模来科学评估肌肉骨骼损伤的临床治疗，并为代表性不足的学生提供使用计算工具来解决有意义的医学问题的机会，将实现更广泛的影响。