This PhD offers an exciting opportunity to work in a cross-disciplinary environment to develop new clinical imaging technology. In dentistry, X-Ray imaging is the primary technique for detecting tooth disease. However, it is only sensitive to established disease and uses ionising radiation. Dental disease management in children can often require a series of multiple X-Ray imaging sessions over a period of months and years. Whilst the X-Ray dose is low, it is desirable to minimise or eliminate such exposure where possible.
Optical coherence tomography (OCT) is an exciting biomedical imaging technology that may offer a solution to this problem. However, it cannot directly image dental disease that occurs in-between teeth. Nevertheless, recent results from our lab have shown that such disease can be indirectly detected by imaging from multiple viewpoints.
• Develop a system of experimental OCT measurements that can detect disease between teeth in a model system.
• Develop a computational framework for producing a three-dimensional reconstruction of the diseased tooth section from the OCT data.
Queen Mary University of London is a highly-ranked research university and a member of the UK’s Russell Group of leading universities.
How to apply:
For more information regarding the project, please contact Dr P Tomlins ([email protected]
Applications should be submitted through the Queen Mary application system. Please indicate the project title and supervisor in the ‘Research Degree Programmes - Additional Questions’ section of the application.
Alongside the application form, please send the following supporting documents:
• Curriculum Vitae (CV)
• Copies of your degree certificates with transcripts
• Proof of English language ability for overseas applicants from non-English speaking countries
• A one-side A4 statement of purpose. This should set out your previous academic or other experience relevant to the proposed research; why you wish to undertake this research at QMUL; your previous research or professional training and what further training you think you will need to complete a PhD; and what ethical issues you will need to consider in undertaking this research.
• Two references. At least one reference must be from an academic referee who is in a position to comment on the standard of your academic work and suitability for postgraduate level study. Where appropriate, a second referee can provide comment on your professional experience.
Please contact Charlotte Royle ([email protected]
) with any queries about the application process.
Reconstruction of the diseased area from such data is a challenging problem that may be well suited to exciting techniques such as machine learning and deep neural networks. Therefore, this project would suit a candidate with a background in physics, maths, engineering or computer science.