[Webcast] GrandChallenge Knee: Patient-Specific Musculoskeletal Modelling Of Total Knee Arthroplasty скачать в хорошем качестве

[Webcast] GrandChallenge Knee: Patient-Specific Musculoskeletal Modelling Of Total Knee Arthroplasty

In this webcast Michael Skipper Andersen will present a patient specific model to predict knee contact forces for Total Knee Arthroplasty. Congratulation to Michael Skipper Andersen (Aalborg University), Marco Marra (Radbound Univeristy), Valentine Vanheule (Materialise), Rene Fluit (Twente Univeristy), Nico Verdonschot (Radbound Univeristy) and John Rasmussen (Aalborg University) for winning the 2014 Grand Challenge with this paper: Patient-specific Musculoskeletal Modelling of Total Knee Arthroplasty using Force-dependent Kinematics The bone geometry of tibia, femur and patella was based on CT images to scale muscle attachments nodes nonlinearly. An optimisation procedure in AnyBody linearly scaled the remaining model segments based on surface marker locations. A detailed tibiofemoral and patellofemoral joint model, including contact and ligaments, allowed estimation of both muscle, ligament and contact forces, and knee joint kinematics using Force-dependent Kinematics (FDK). By employing quasi-static force-equilibrium, FDK extends inverse dynamics to allow computation of small movements stabilized by soft tissue within joints. In this study, FDK was employed to compute all tibiofemoral and patellofemoral movements except knee flexion/extension, which was prescribed. The muscle strengths were systematically reduced for both knee flexors and extensors as reported for total knee arthroplasty patients, and a strong dependence of the knee contact forces on this strength was observed. The predicted tibio-femoral contact forces showed a very good correlation to the in-vivo measured data. Medial and lateral forced matched for standard gait and a measured right turn.