The College of Science and Engineering and the College of Medicine, Biological Sciences and Psychology, University of Leicester, offer a fully funded PhD studentship in Bioinformatics:
Intracranial pressure estimation using ultrasound for non-invasive diagnosis and monitoring of brain injury
Raised Intracranial Pressure (ICP) can occur in patients with bleeding or swelling of the brain due to head trauma,
but current monitoring methods require measuring ICP by neurosurgical insertion of a device beneath the skull, which is extremely invasive.
This PhD project will develop and assess a new method for non-invasive estimation of ICP based on ultrasound measurements of brain tissue pulsation. The project will support the development of a portable clinical ultrasound prototype being pioneered at Leicester for rapid assessment of brain injury.
The PhD will start with the development of a hydro-mechanical model of healthy and injured brain tissue pulsation, to capture the impact of blood perfusion, ICP, brain tissue compliance, and other parameters. This will then be used to estimate ICP non-invasively for validation against invasive ICP measurements from head trauma patients monitored in intensive care.
This research has potential to revolutionise treatment of brain-injured patients and is expected to generate several high profile biomedical engineering and clinical publications, international conference presentations, and collaborations with medical device manufacturers.
The studentship is full-time and available to UK/EU students. Fees, bench contribution and RCUK equivalent stipend will be covered.
The ideal candidate will have a degree in Engineering, Physics, or Applied Mathematics and an interest in applying physiological modelling and estimation techniques for the benefit of patients.
The successful applicant will be supervised by Dr Andrea Lecchini-Visintini (Department of Engineering) and Dr Emma Chung (Department of Cardiovascular Sciences).
The full advert is available online at: http://goo.gl/0wDmy2
The closing date is 12 noon (UK time) on 17 February 2017.
Candidates should contact Dr Lecchini-Visintini <email@example.com> before applying.