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Model Properties and Clinical Application in the Finite Element Analysis of Knee Joint: A Review. | LitMetric

AI Article Synopsis

  • The knee joint is made up of both bony structures (like femur and patella) and soft tissues (like ligaments and tendons), making it complex and challenging to study biomechanically.
  • The finite element model (FEM) is a valuable engineering tool used in bioengineering that allows researchers to analyze the knee's biomechanics and assess factors like stress and injury mechanisms.
  • This paper reviews modeling strategies and material property selections for knee FEMs to help guide research design and enhance understanding of knee mechanics.

Article Abstract

The knee is the most complex joint in the human body, including bony structures like the femur, tibia, fibula, and patella, and soft tissues like menisci, ligaments, muscles, and tendons. Complex anatomical structures of the knee joint make it difficult to conduct precise biomechanical research and explore the mechanism of movement and injury. The finite element model (FEM), as an important engineering analysis technique, has been widely used in many fields of bioengineering research. The FEM has advantages in the biomechanical analysis of objects with complex structures. Researchers can use this technology to construct a human knee joint model and perform biomechanical analysis on it. At the same time, finite element analysis can effectively evaluate variables such as stress, strain, displacement, and rotation, helping to predict injury mechanisms and optimize surgical techniques, which make up for the shortcomings of traditional biomechanics experimental research. However, few papers introduce what material properties should be selected for each anatomic structure of knee FEM to meet different research purposes. Based on previous finite element studies of the knee joint, this paper summarizes various modeling strategies and applications, serving as a reference for constructing knee joint models and research design.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10834231PMC
http://dx.doi.org/10.1111/os.13980DOI Listing

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