Enhanced patient safety by computational Modelling from clinically available X-rays to minimize the risk of overload and instability for optimized function and joint Longevity MXL
- B.P.F. Lelieveldt (Div. Image processing, Dept. Radiology)
- M.J. Nieuwenhuijse MSc (Long Term Clinical RSA and Survival Studies)
- Nienke Wolterbeek MSc (Clinical fluoroscopy assessment)
- Statistical Shape Modelling
January 1 2010, December 31 2012
- Charité and Julius Wolff Institute (coordinator of project), Berlin, Germany
- University of Southampton, United Kingdom
- Zuse Institute Berlin (ZIB), Germany
- Delft University of Technology, The Netherlands
- Rizolli Insitute, Bologna, Italy
- Commercial partners
- Euram, Nottingham, United Kingdom
- ESI, Rungis, France
- SCS, Reno, Italy
- Medis Specials, Leiden, The Netherlands
The MXL project addresses the specific aims and objectives of the ICT-2009.5.2: ICT for Patient Safety call by implementing an ICT framework that provides the surgeon with quantitative data to minimize the risk of joint overload and instability, thereby preserving the joint.
The objective is to develop training and planning tools to provide the surgeon with an accurate, patient specific prediction of the outcome of joint surgery. MXL will transform the clinical management of joint surgery by implementing a combination of image processing, finite element and musculoskeletal modelling tools to provide an understanding of the individual biomechanical condition from standard clinical radiographs.
The innovative ICT framework will enable the safe management of joint surgery throughout all stages of joint degeneration, with a focus on minimizing key failure risks of surgery. Thereby, even less experienced surgeons will be enabled to identify and implement a safe surgical route to optimal functional outcome for each and every patient, be it surgery to preserve a joint afflicted by instability due to ruptured ligaments, or to replace an already degenerated joint using artificial components. The targeted ICT framework will capitalize on using standard X-ray imaging to reduce costs and avoid unnecessary disruption to the standard clinical work flow. This guarantees wide spread access for patients to this improved quality of care and addresses a key societal challenge of our ageing society.