Computational Modelling Group

MXL Project

Homepage
http://www.m-x-l.eu/
Started
1st January 2010
Ended
31st December 2012
Investigators
Mark Taylor, Junfen Shi

Visit official website for more information

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 widespread access for patients to this improved quality of care and addresses a key societal challenge of our ageing society.

Categories

Life sciences simulation: Biomedical, Medical Imaging

Physical Systems and Engineering simulation: Biomechanics

Algorithms and computational methods: Finite elements

Visualisation and data handling methods: Surface imaging, Voxel imaging

Visualisation and data handling software: Amira, Avizo

Programming languages and libraries: C++, Fortran, Matlab

Computational platforms: GPU, Linux, Windows

Transdisciplinary tags: Complex Systems