Projects in computational assessment of orthopaedic devices

Project description

A number of projects are available in the broad area of the computational assessment of orthopaedic devices, such as total hip and knee replacements.  There are two main areas of interest: Development of pre-clinical testing methods: Although total joint replacements are generally successfully, new designs are regularly enter the market.  In order to minimise the risk to patients, we need to virtually test these implants to show that they are as good as, in not better, than current devices.  Using finite element analysis, we have developed virtual test methods to assess their performance.  Projects are available to further develop these virtual test methods Development of surgical planning tools: Based on the work we done on pre-clinical testing and the advances in computational power and AI, we are looking at ways we can use finite element based predictions to help surgeons develop individualised plans for each patient.  Projects are available developing various aspects of thee surgical planning toools.

Assumed knowledge

Background in solid mechanics.  A basic understanding of programming, particularly in Matlab or Python

Supervisors research focus

The main focus of my research is the develop of computational tools in the broad area of research associated with in silico medicine.  I have research interests ranging from diagnosis of osteoporosis using computational models, through pre-clinical testing, in silico clinical trials and post market surveillance.

Note: You need to register interest in projects from different supervisors (not a number of projects with the one supervisor).
You must also contact each supervisor directly to discuss both the project details and your suitability to undertake the project.