Quantitative Biomedical Inference (QuBIc)
Welcome to the website of the Quantitative Biomedical Inference group led by Prof. Michael Chappell. We are part of the Institute of Biomedical Engineering in the Department of Engineering Science, University of Oxford. The group applies inference (estimation) techniques from information engineering to biomedical data, primarily with a view to clinical application.
Most of our work is concentrated on the interpretation of novel imaging techniques that allow metabolic or haemodynamic information about the body to be measured, such as perfusion. This is achieved by constructing a mathematical model of the physiology and physics of the problem whose parameters we can infer from the imaging data.
Examples of projects we are working on include (more details can be found using the links on the right):
- Quantification of perfusion using Arterial Spin Labelling MRI.
- Measurement of vascular territories using Vessel Encoded ASL MRI.
- Measurement of microvascular haemodynamics using Dynamic Susceptibility Contrast MRI.
- pH imaging in Stroke and tumours using Chemical Exchange Saturation Transfer MRI methods such as Amide Proton Transfer.
If you are interested in joining QuBIc then keep an eye on the Department of Engineering Science vacancies page for post-doctoral jobs or funded studentships.
We welcome students who want to join the group to complete their DPhil (PhD) either directly or through the Oxford-Nottingham Centre for Doctoral Training in Biomedical Imaging. If you want to join the group directly you should apply through the Department of Engineering Science for a DPhil, you can use the application form to indicate the area(s) you would like to work in. Informal enquiries about joining the group and possible project areas can be sent to Prof. Michael Chappell, but have a look at the areas on the right first as these are a good indication of what we work on.