Osteoarthritis (OA) is a disabling disease, affecting the joints of 40% or more of the population over 60, resulting in a socioeconomic burden of approx. €6,000 million. per year in Germany alone. Joint surgery attempts to address the various disease stages, to either minimize the risk of early degeneration of the native joint, or to replace a fully degenerated joint. To prevent failures and improve surgery outcome, key facts on the mechanical conditions of the joint need to be available to the surgeon. By implementing refined image reconstruction, biomechanical modeling and analysis tools, MXL will make the dynamic joint loading and stability accessible for the planning of joint surgery in every case.
Heads
Heller, Prof. Dr. Markus
Members
Lamecker, Dr. Hans
Partners
Bioengineering Science Research Group, School of Engineering Sciences, University of Southampton, UK (M. Taylor, D. Barrett)
Julius Wolff Institute, Charité, University Medicine, Free and Humboldt University, Berlin, DE (G. Duda, M.O. Heller)
BioMechanical Engineering, Delft University of Technology, NL (F.C.T. van der Helm)
Leiden University Medical Centre, NL (E. Valstar, R. Nelissen)
The Rizzoli Orthopaedic Institute, Bologna, IT (F. Taddei)
Medis medical imaging systems b.v., Leiden, NL (E. Garling)
SCS srl, Milano, IT (D. Testi)
ESI Group, Rungis, FR (A. Kamoulakos)
Euram Ltd., Nottingham, UK (N. Lambert)
Related projects
Funding
European Commission