PhD Research Studentships

Smart Medical Devices for Minimally Invasive Cancer Treatment

Supervisor: Zion TSE
Apply by:29 January 2025
Start in:September (Semester 1)

Description

Image-guided catherisation is widely used in interventional radiology and oncology. Numerous publications have reported that catheter tracking and navigation can improve targeting accuracy over freehand catheter insertion. However, most navigation systems in the market are very expensive. Many of them, if not all, require major changes of the standard clinical workflow to facilitate registration between the tracking system and the patient. Furthermore, some systems have to modify standard needles, which increases disposable cost and may eventually limit the clinical acceptance of the approach. This project is to develop and validate a cost effective, easy-to-use and fully integrated navigation system for smart catheter procedures during image-guided cancer diagnosis and treatment.

Funding

Funded by: China Scholarship Council
Candidate will need to secure a CSC scholarship.
Under the scheme, Queen Mary will provide scholarships to cover all tuition fees, whilst the CSC will provide living expenses and one return flight ticket to successful applicants.

Eligibility

  • The minimum requirement for this studentship opportunity is a good honours degree (minimum 2(i) honours or equivalent) or MSc/MRes in a relevant discipline.
  • If English is not your first language, you will require a valid English certificate equivalent to IELTS 6.5+ overall with a minimum score of minimum score of 6.0 in each of Writing, Listening, Reading and Speaking).
  • Candidates are expected to start in September (Semester 1).

Contact

For informal enquiries about this opportunity, please contact Zion TSE.

Apply

Start an application for this studentship and for entry onto the PhD Medical Engineering full-time programme (Semester 1 / September start):

Apply Now »

Please be sure to quote the reference "SEMS-PHD-651" to associate your application with this studentship opportunity.

Related website:https://www.mrlabuk.com/
SEMS Research Centre:
Bioengineering
Keywords:Artificial Intelligence, Computer Vision, Machine Learning, Biomedical Engineering, Control Systems, Electrical Engineering, Electronic Engineering, Robotics, Cardiology, Radiology