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Enhancement and Visualisation of Optical Biomedical Images in Clinical Dentistry

  • Full or part time
  • Application Deadline
    Applications accepted all year round
  • Self-Funded PhD Students Only
    Self-Funded PhD Students Only

Project Description

Background:
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.

Aims:
• 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 Charlotte Royle () 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

How good is research at Queen Mary University of London in Allied Health Professions, Dentistry, Nursing and Pharmacy?

FTE Category A staff submitted: 32.20

Research output data provided by the Research Excellence Framework (REF)

Click here to see the results for all UK universities

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