This is an exciting project at the cutting edge of biomedical imaging in clinical dentistry. New technology offers a future for oral healthcare without the use of harmful X-Ray imaging. This is instead making way for optical imaging modalities. Optical coherence tomography (OCT) is a 3D biomedical imaging technique that is sensitive to dental disease. One of the challenges, however, is presenting the information rich data to clinicians in a clear way, free of noise and mis-leading artefacts.
Therefore, this project offers an exciting opportunity to work in an interdisciplinary team to develop visualisations of OCT data tailored to the needs of dental practitioners.
• Develop a full understanding and mitigation of distortion and artefacts in OCT imaging.
• Develop new approaches to presenting the 3D information visually.
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.
Approaches might include the use of virtual/mixed reality and machine learning. Therefore, this project would suit somebody with an interest in the clinical applications of computer science, visualisation, physics, mathematics and engineering.