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Digital patient modelling: biomechanical representation of the human knee joint from multimodal data

Chincisan, A. and Magnenat-Thalmann, N. and Choi, HF and Lynch, S. and Hurschler, C.


Abstract: The knee is a complex joint of the human body that supports large loads in both static and dynamic postures. It is mainly ensured by four major ligaments, which all play vital roles in enabling a proper joint articulation. As such, the interactions between the mechanical loadings in these ligaments need to be taken into account in order to obtain an adequate assessment of rehabilitation after ligament injury. However, the combined effect of knee ligaments during movement has not yet been investigated in detail. In this study we present a three-dimensional finite element model of a healthy human knee including its four major ligaments. The subject-specific geometric model of the knee was reconstructed from MRI data. For validation, knee displacements were compared with the results obtained with an in vitro technique performed on cadavers. The fiber strains were analysed for the knee ligaments during simulations of passive flexion combined with anterior/posterior translation, internal/external and varus/valgus rotations. The purpose of these simulations is to simultaneously evaluate the mechanical behaviour of the major ligaments of the knee. The investigation of the knee joint kinematics gives a better understanding of the ligaments mechanical function. The good agreement between the three-dimensional model and the in vitro data supports the potential for clinical applications of the model as an informative tool for physicians to evaluate interventions or treatments.


DOI: 10.1145/2949035.2949065
@inproceedings{627,
  title = {Digital patient modelling: biomechanical representation of the human knee joint from multimodal data},
  author = {Chincisan, A. and Magnenat-Thalmann, N. and Choi, HF and Lynch, S. and Hurschler, C.},
  booktitle = {Proceedings of the 33rd Computer Graphics International},
  pages = {117--120},
  year = {2016},
  organization = {ACM},
  doi = {10.1145/2949035.2949065},
  topic = {medical},
  project = {multiscalehuman}
}