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Enhancement and Visualisation of Optical Biomedical Images in Clinical Dentistry

Institute of Dentistry

About the Project

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.

Research environment:

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 ()

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 with any queries about the application process.

Person specification:
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.

Funding Notes

Funding notes:
We will consider applications from prospective students with a source of funding to cover tuition fees and bench fees for three years full-time or 6 years part-time. Both self-funded and sponsored students will be considered.

UK and EU nationality self-funded students might be eligible for both the cost of tuition fees and a yearly stipend over the course of the PhD programme from the Student Finance England: View Website

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