Abstract Summary
Due to the long term consequences of ACL rupture, including pain, instability, loss of function, and early onset osteoarthritis, injury prevention is of the utmost importance. The efficacy of prevention programs may be enhanced by data quantifying the positions that put the ACL at risk for injury. Unfortunately, the precise motions initiating ACL injuries are not well understood. In this talk, new techniques using MRI, 3D modelling, numerical optimization, and high speed biplanar radiography will be used to quantify in vivo ACL strains during dynamic tasks and identify what positions are high risk for injury.