We still have 3 places open for PhD Studentships staring this academic year. They are available to UK or EU nationals.
Research and development in Medical Imaging is highly multi-disciplinary and students with a diverse range of backgrounds have a direct role to play including degrees in all STEM subjects (mathematics, computer science, physics, engineering, chemistry, biology, biochemistry, pharmacy).
Each studentship is funded for 4 years. This includes tuition fees, stipend and bench fee.
Stipend: Students receive a tax-free stipend of at least £16,000 per year.
Bench fees: A generous allowance is provided for research consumables and for attending UK and international conferences.
The limitation of current Magnetic Resonance Imaging (MRI) schemes is the long acquisition times required. Magnetic Resonant Fingerprinting (MRF) is a novel technique which promises to overcome this problem. MRF introduces new data acquisition, post processing and visualization approaches to achieve fully quantitative multiparametric MRI from a single acquisition. In this project we aim to develop MRF for free-breathing multiparametric cardiac acquisitions. The heart’s pulsing and the movement of the body during breathing degrade the quality of the image. External and/or self-gated cardiac and respiratory signals will be incorporated in MRF to minimize remaining motion artefacts.
The aim of this project is to develop novel imaging biomarkers to characterise precancerous liver disease (cirrhosis) for patients under surveillance, using a range. MR elastography (MRE) and recently quantitative MR imaging with T1-mapping have shown great promises in predicting fibrosis stages in patients. This project will utilise their complementarity in characterising cirrhosis by developing dedicated computational medical image analysis technology that allows clinicians to spatially correlate and follow-up patient- and disease-specific tissue characteristics. The ultimate goal of this research is to detect changes in tissue characteristics from precancerous to cancerous states, which could impact on a range of other primary and secondary cancers.
Note that this is an MRC CASE studentship which includes an industrial stipend top-up of £2500pa.
The aim of this PhD is to develop tools for predicting if patients will benefit from a spinal cord stimulation implant. Spinal cord simulation (SCS) is a minimally invasive, safe and reversible therapy for the treatment of chronic neuropathic pain in the lower limbs and back (FBSS). Although it is usually successful, large prospective studies have shown that only 60-70% of FBSS patients will experience significant pain relief.
In this work we will perform a multimodal prospective study in FBSS patients awaiting an SCS trial. We will acquire clinical examination data, detailed psychometric testing and fMRI of the brain prior to implantation, and compare that to standard clinical outcomes after the device has been implanted to try to predict what factors affect patients’ responses to the implant.
The aim of this PhD project is to develop novel visualisation techniques to effectively display medical image data on this display and to assess the utility of the display system within the medical domain. Holixica Ltd. will develop a volumetric holographic display, extending the current single slice version to a million voxel volume. Medical image data can then be presented directly to the viewer as full 3D images via the holographic display.