Project Overview
This project investigated two methods which could be implemented to account for the patient variation experienced over the population. The first method analysed a group of16 patients and examined the variation in the results to determine the spread of data over the population using CT imaging and FEA. The second method explored was probabilistic techniques; these methods are able to account for inter-patient variables along with multiple variables such as surgical parameters and implant design. Two case studies were undertaken on a single femur model; one varying only surgical parameters, the second incorporating patient variables such as load and bone density.
The project determined that probabilistic methods would be invaluable in future research work, and laid the groundwork for future studies using statistical shape models of bones.
