Professor Heller has been interviewed by the VPH Institute regarding the project. Please visit the News section for further details.

The MXL Project video is now available in the Media section!

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.


MXL Mission Statement
The MXL consortium aims to enhance patient safety in joint surgery through assessment and prediction of overload and instability conditions after joint preserving or joint replacing interventions at the shoulder, hip and knee joints. To this end, sensitive methods for quantifying joint function will be derived. ICT tools for the reconstruction of musculoskeletal anatomy from medical imaging data will be developed in order to extract key information on both hard and soft tissues. Clinical use will be facilitated by exploiting routine X-ray imaging to tailor models to the individual patients. Furthermore, detailed patient-specific, integrated models for assessing the mechanics of the joints and the bone-implant complex will be developed and validated. The MXL consortium aims to integrate the abovementioned steps as a demonstrator that might be specific to each joint.


The MXL project has been partially funded by the European Commission

Seventh Framework Programme (FP7)

To find out more click on the links below

Seventh Framework Programme FP7 Cooperation ICT Challenge 5 Virtual Physiological Human What is eHealth



Prof. Markus Heller

Bioengineering Sciences Research Group

School of Engineering Sciences

University of Southampton

Highfield, Southampton

United Kingdom

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