Imperial College London Featured PhD Programmes
Engineering and Physical Sciences Research Council Featured PhD Programmes
University of Reading Featured PhD Programmes

Can optical coherence tomography replace X-Rays in paediatric dentistry?

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

Project Description

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.

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:
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.

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

Email Now

Insert previous message below for editing? 
You haven’t included a message. Providing a specific message means universities will take your enquiry more seriously and helps them provide the information you need.
Why not add a message here

The information you submit to Queen Mary University of London will only be used by them or their data partners to deal with your enquiry, according to their privacy notice. For more information on how we use and store your data, please read our privacy statement.

* required field
Send a copy to me for my own records.

Your enquiry has been emailed successfully

FindAPhD. Copyright 2005-2020
All rights reserved.