MXL

Computational Modelling for enhanced analysis from clinically available X-rays to optimise Longevity of joint replacement

MXL 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.

To achieve its objectives, the following technologies will be developed and integrated:

• The rapid and automatic generation of models of the relevant musculoskeletal structures from standard clinical imaging modalities to minimise radiation exposure to the patient (e.g. ultrasound, MRI, DEXA, clinical X-rays).
• Automatic mapping of the musculature and data collected from clinical functional tests onto the skeletal models to enable biomechanical simulations of the subject specific risk of overload and instability.
• Apply novel solution strategies to minimise solution times of the biomechanical models to provide accurate information to the clinician in real-time or near real-time. ESI Group is the lead partner in this activity by developing innovative Reduction Methods (Neural Networks) and Multi-Model Coupling simulation capabilities.
• Use probabilistic techniques to account for the uncertainty in biological parameters and surgical variability to predict the outcome envelope and enable robust identification and avoidance of high risk conditions. ESI is a key partner in this activity by developing accordingly the capabilities of PAM-OPT.
• These technologies combined will allow advanced surgeon training software and planning tools to simulate surgery on the patient specific anatomy, automatically generate biomechanical models and deploy these in clinical routine.

Visit the MXL website for more information.