Patient specific bone models

Background: Bone associated diseases such as osteoporosis, osteoarthritis, or bone metastases constitute significant personal, social, and economic burden affecting millions of patients in ageing societies world-wide and the UK in particular. While pharmacological osteoporosis treatments are often insufficient for the non-average patient, no effective pharmacological treatment is available for osteoarthritis or bone metastases so that implants are often the only option. Tailoring treatment solutions based on personalised computational bone strength assessments and personalised implants, manufactured on demand, could help to lower the socio-economic burden. These solutions critically dependent on accurate, personalised 3D representations of bones. It would be beneficial if such datasets could be without costly 3D imaging techniques and, thus, with minimal effort.

Project: Therefore, the project builds on previous work and aims at developing an image analyses-based technology to compute accurate, personalised 3D representations of bones. Key tasks of the project are

  1. based on previous work, use statistical shape and appearance modelling (a form of machine learning) for human femurs
  2. use the model to provide personalised 3D datasets based on clinically available X-ray images
  3. perform personalised strength analyses (if time allows)

Impact: If successful, the project will have direct, positive impact on personalised fracture risk assessment and advanced personalised treatment strategies, e.g. personalised implants.

Other Comments: 

Some programming skills necessary

Supervisor name: 
Uwe Wolfram
Supervisor and Deputy email addresses: 
u.wolfram@hw.ac.uk
Project location: 
Project is computational so that remote supervision is possible