Development and analysis of advanced imaging fusion models with application to endovascular treatment of Abdominal Aortic Aneurysms at University of Liverpool on FindAPhD.com

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Prof K Chen, Prof F Torella No more applications being accepted Competition Funded PhD Project (UK Students Only)

About the Project

This project will investigate how to develop and select the best models and methods to analyse image data with irregular 3D pattern changes and aim to propose novel imaging methods to automatically analyse and colligate treatment / disease progression in order to optimise treatment planning, with particular application to treatment of abdominal aortic aneurysms by endovascular sealing (EVAS) using a range of imaging modalities. The mathematical imaging problems to study include segmentation, registration and fusion of images, identification, measurement and comparisons of surfaces with a number of mathematical tools (such as variational models, nonlinear decomposition, nonlinear optimization, partial differential equations, fast algorithms) to be deployed in this research project.

Award conditions: Candidates having achieved or expect achieve 1st class degree in Mathematical Sciences (MSc or Part III or BSc) will have an advantage, though the minimum standard is II.1.

Supervisors’ team: Prof Ke Chen (University of Liverpool), Prof Francesco Torella
and Mr Paul McNulty (Liverpool Vascular & Endovascular Service, Royal Liverpool University Hospital)

Funding Notes

The studentship is research council funded studentship funded for 4 years, awarded to the supervisors’ team by the Smith Institute following a national, open competition. It is fully funded, covers University fees at the level set for UK/EU students plus provides a stipend in line with that paid to students funded by the research councils (tax-free maintenance grant of last year was at £14,296, subject to increase in 2017/18) plus £3000 extra top-up per year due to industrial importance.

The studentship is available to all applicants but the University fees are covered at UK/EU rate. See www.epsrc.ac.uk for full details.

References

J P Zhang, Ke Chen, Bo Yu and Derek Gould, "A local information based variational model for selective image segmentation", Inverse Problems and Imaging, 2014: 8 (1), 293-320.

Torella F, Chan TY, Shaikh U, England A, Fisher RK, McWilliams R. ChEVAS: combining suprarenal EVAS with chimney technique. Cardiovasc Intervent Radiol 2015: 38, 1294-8.

Where will I study?

University of Liverpool

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Development and analysis of advanced imaging fusion models with application to endovascular treatment of Abdominal Aortic Aneurysms

University of Liverpool Department of Mathematical Sciences