{"title":"膝关节计算建模的最新进展","authors":"Kaiwen Yang, Marcus G. Pandy","doi":"10.1016/j.ostima.2024.100244","DOIUrl":null,"url":null,"abstract":"<div><h3>Objective</h3><p>Model calculations of knee joint loading range from an assumption of perfectly rigid articular surfaces to more realistic simulations of cartilage and meniscal deformation. Rigid-body musculoskeletal models simulate knee contact mechanics using the ‘bed of springs’ method from elastic foundation theory whereas finite-element models discretise each structure into a series of interconnected elements and ascribe material properties to each element. This mini-review describes some of the most recent developments in computational modelling of knee contact mechanics and suggests possible avenues for future improvements.</p></div><div><h3>Design</h3><p>Narrative mini-review.</p></div><div><h3>Results</h3><p>Muscle and joint contact forces can be calculated synchronously at a reasonable computational cost (typically a few hours of CPU time) using rigid-body models and elastic foundation theory whereas similar calculations using fully deformable finite-element models can take several days and even weeks. The main computational expense incurred in finite-element musculoskeletal modelling is the solution of a muscle-force optimization problem.</p></div><div><h3>Conclusion</h3><p>Calculation of muscle and joint contact forces within the framework of a finite-element musculoskeletal model remains challenging. Integrating biomechanical data from human motion experiments with fully deformable finite-element models to simulate knee contact mechanics during dynamic activity is an evolving science. Future work should explore the use of efficient methods such as direct collocation to perform muscle-driven dynamic optimization simulations of movement using finite-element musculoskeletal models. Dynamic optimization may be combined with finite-element modelling to enable predictive simulations of movement so that the effects of changes in musculoskeletal anatomy on knee contact mechanics can be studied more systematically.</p></div>","PeriodicalId":74378,"journal":{"name":"Osteoarthritis imaging","volume":"4 3","pages":"Article 100244"},"PeriodicalIF":0.0000,"publicationDate":"2024-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772654124000783/pdfft?md5=010d2ee559cceee7bc4708f42a2a6b34&pid=1-s2.0-S2772654124000783-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Recent developments in computational modelling of the knee\",\"authors\":\"Kaiwen Yang, Marcus G. 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This mini-review describes some of the most recent developments in computational modelling of knee contact mechanics and suggests possible avenues for future improvements.</p></div><div><h3>Design</h3><p>Narrative mini-review.</p></div><div><h3>Results</h3><p>Muscle and joint contact forces can be calculated synchronously at a reasonable computational cost (typically a few hours of CPU time) using rigid-body models and elastic foundation theory whereas similar calculations using fully deformable finite-element models can take several days and even weeks. The main computational expense incurred in finite-element musculoskeletal modelling is the solution of a muscle-force optimization problem.</p></div><div><h3>Conclusion</h3><p>Calculation of muscle and joint contact forces within the framework of a finite-element musculoskeletal model remains challenging. Integrating biomechanical data from human motion experiments with fully deformable finite-element models to simulate knee contact mechanics during dynamic activity is an evolving science. Future work should explore the use of efficient methods such as direct collocation to perform muscle-driven dynamic optimization simulations of movement using finite-element musculoskeletal models. Dynamic optimization may be combined with finite-element modelling to enable predictive simulations of movement so that the effects of changes in musculoskeletal anatomy on knee contact mechanics can be studied more systematically.</p></div>\",\"PeriodicalId\":74378,\"journal\":{\"name\":\"Osteoarthritis imaging\",\"volume\":\"4 3\",\"pages\":\"Article 100244\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-08-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2772654124000783/pdfft?md5=010d2ee559cceee7bc4708f42a2a6b34&pid=1-s2.0-S2772654124000783-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Osteoarthritis imaging\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2772654124000783\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Osteoarthritis imaging","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2772654124000783","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
目的 膝关节负荷的模型计算既包括完全刚性关节面的假设,也包括更现实的软骨和半月板变形模拟。刚体肌肉骨骼模型采用弹性基础理论中的 "弹簧床 "方法模拟膝关节接触力学,而有限元模型则将每个结构离散为一系列相互连接的元素,并为每个元素赋予材料属性。本微型综述介绍了膝关节接触力学计算建模的一些最新进展,并提出了未来改进的可能途径。 结果使用刚体模型和弹性基础理论可以以合理的计算成本(通常只需几个小时的 CPU 时间)同步计算肌肉和关节接触力,而使用完全可变形的有限元模型进行类似计算则需要几天甚至几周的时间。结论在有限元肌肉骨骼模型框架内计算肌肉和关节接触力仍然具有挑战性。将来自人体运动实验的生物力学数据与完全可变形有限元模型相结合,模拟动态活动中的膝关节接触力学是一门不断发展的科学。未来的工作应探索使用有效的方法,如直接配位,利用有限元肌肉骨骼模型对运动进行肌肉驱动的动态优化模拟。动态优化可与有限元建模相结合,以实现运动预测模拟,从而更系统地研究肌肉骨骼解剖结构的变化对膝关节接触力学的影响。
Recent developments in computational modelling of the knee
Objective
Model calculations of knee joint loading range from an assumption of perfectly rigid articular surfaces to more realistic simulations of cartilage and meniscal deformation. Rigid-body musculoskeletal models simulate knee contact mechanics using the ‘bed of springs’ method from elastic foundation theory whereas finite-element models discretise each structure into a series of interconnected elements and ascribe material properties to each element. This mini-review describes some of the most recent developments in computational modelling of knee contact mechanics and suggests possible avenues for future improvements.
Design
Narrative mini-review.
Results
Muscle and joint contact forces can be calculated synchronously at a reasonable computational cost (typically a few hours of CPU time) using rigid-body models and elastic foundation theory whereas similar calculations using fully deformable finite-element models can take several days and even weeks. The main computational expense incurred in finite-element musculoskeletal modelling is the solution of a muscle-force optimization problem.
Conclusion
Calculation of muscle and joint contact forces within the framework of a finite-element musculoskeletal model remains challenging. Integrating biomechanical data from human motion experiments with fully deformable finite-element models to simulate knee contact mechanics during dynamic activity is an evolving science. Future work should explore the use of efficient methods such as direct collocation to perform muscle-driven dynamic optimization simulations of movement using finite-element musculoskeletal models. Dynamic optimization may be combined with finite-element modelling to enable predictive simulations of movement so that the effects of changes in musculoskeletal anatomy on knee contact mechanics can be studied more systematically.