Efficient Methods for Multi-Domain Biomechanical Simulations

多域生物力学模拟的有效方法

• 批准号: 7284849
• 负责人: ANTONIE J. VAN DEN BOGERT
• 金额: $ 42.06万
• 依托单位: CLEVELAND CLINIC LERNER COM-CWRU
• 依托单位国家: 美国
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-09-11 至 2009-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7284849
• 关键词: Address; Affect; Algorithms; American; Anatomy; Area; Arts; Biomechanics; Biomedical Computing; Clinical; Collaborations; Compatible; Complex; Computer Simulation; Condition; Coupled; Coupling; Degenerative polyarthritis; Development; Diabetic Foot; Diagnostic; Elements; Environment; Equation; Exercise; Finite Element Analysis; Frequencies; Gait; Generic Drugs; Goals; Hand; Health Services; Healthcare; Human; Impairment; Injury; Intervention; Investigation; Joints; Ligaments; Link; Measures; Mechanics; Methods; Modeling; Movement; Muscle; Musculoskeletal; Musculoskeletal System; Numbers; Operative Surgical Procedures; Output; Pain; Patients; Pattern; Physics; Property; Prosthesis; Purpose; Quality of life; Range; Rehabilitation therapy; Research; Research Infrastructure; Research Personnel; Research Proposals; Safety; Sampling; Scheme; Self-Help Devices; Simulate; Skeleton; Solutions; Stress; Techniques; Testing; Time; Tissue Model; Tissues; Ulcer; base; biocomputing; computerized tools; cost; design; foot; injured; kinematics; multi-scale modeling; predictive modeling; pressure; productivity loss; programs; sensory feedback; simulation; tool; tool development

DESCRIPTION (provided by applicant): In computational biomechanics, there are two well-developed but separate modeling domains: multi body dynamics for body movements, and finite element modeling for tissue deformations. Many clinical problems, however, span both domains. Whole body anatomy, mass distribution, and gait pattern are not typically represented in finite element models, yet these are important real-world factors that affect tissue stresses in the musculoskeletal system, which may contribute to clinical problems such as osteoarthritis and diabetic foot ulceration. Movement simulations, on the other hand, lack a representation of tissue deformations, which are indicators of mechanically induced pain and other sensory feedback (or the lack thereof) and will cause observable changes in gait. Exploration of these neuromusculoskeletal integrative mechanisms can only be accomplished by multi-domain simulations. Current techniques for multi-domain modeling are insufficient because forward dynamic movement simulations typically proceed along a sequence of many small steps in time. Finite element models are too slow to allow a solution at each of these steps. One may painstakingly produce a single movement simulation, but not the thousands of simulations that are required for predictive movement optimizations that are the state of the art in musculoskeletal dynamics. This has become a bottleneck for our own research, as well as for others. Our first aim, therefore, is to implement a generic, self-refining, surrogate modeling scheme, which aims to reproduce an underlying physics-based finite element model within a given error tolerance, but at a far lower computational cost. The self-refining feature is the key to reproduce the multi-dimensional input-output space of a typical finite element model of a joint or joint complex. Our second aim is to demonstrate the utility of these tools by connecting a finite element model of the foot to a complete musculoskeletal gait simulation, which will test the hypothesis that peak plantar pressures (an indicator of diabetic foot ulceration), can be lowered under safety thresholds by selecting a specific optimal muscle coordination pattern during gait. The proposed research will advance the computational environment at the Stanford Center for Biomedical Computation by providing basic surrogate modeling algorithms that are potentially applicable to other multiscale physics-based problems and also extend Center's efforts in neuromuscular biomechanics.

描述（由申请人提供）：在计算生物力学中，有两个成熟但独立的建模领域：身体运动的多体动力学和组织变形的有限元建模。然而，许多临床问题跨越这两个领域。全身解剖结构、质量分布和步态模式通常不会在有限元模型中表示，但这些是影响肌肉骨骼系统组织应力的重要现实因素，可能导致骨关节炎和糖尿病足溃疡等临床问题。另一方面，运动模拟缺乏组织变形的表示，组织变形是机械引起的疼痛和其他感觉反馈（或缺乏）的指标，并且会导致步态的可观察到的变化。对这些神经肌肉骨骼整合机制的探索只能通过多域模拟来完成。当前的多域建模技术还不够，因为前向动态运动模拟通常沿着一系列许多小步骤及时进行。有限元模型太慢，无法在每个步骤中提供解决方案。人们可能会煞费苦心地产生单个运动模拟，但不会产生肌肉骨骼动力学最先进的预测运动优化所需的数千个模拟。这已经成为我们自己以及其他人的研究的瓶颈。因此，我们的首要目标是实现一种通用的、自我完善的代理建模方案，其目的是在给定的容错范围内重现基于物理的基础有限元模型，但计算成本要低得多。自细化特征是再现关节或关节复合体的典型有限元模型的多维输入输出空间的关键。我们的第二个目标是通过将足部的有限元模型连接到完整的肌肉骨骼步态模拟来证明这些工具的实用性，这将测试这样的假设：通过在步态期间选择特定的最佳肌肉协调模式，可以将足底峰值压力（糖尿病足溃疡的指标）降低到安全阈值以下。拟议的研究将通过提供可能适用于其他多尺度物理问题的基本代理建模算法来推进斯坦福生物医学计算中心的计算环境，并扩展该中心在神经肌肉生物力学方面的努力。