People

I have worked as a physicist on a range of imaging projects involving SPECT,PET, CT and MRI. I am lead MRI pulse sequence developer in Aberdeen. More recently I have been working in image segmentation and pharmacokinetic modelling.

Pulmonary/pleural imaging with focus on pharmacokinetics, radiomics and imaging biomarkers. Venous thromboembolic disease. Whole body MRI imaging.

Computed Tomography (small animal, exotics, equine)

Contrast Enhanced Ultrasound (small animal)

Abdominal and Thoracic Ultrasound (small animal and exotics)

Radiology (small animal, exotics, equine)

MRI (small animal, equine)

My primary research interest is the imaging of ischaemic stroke.

Since 2012, I have been working on subgroup analyses of imaging from the Third International Stroke Trial (IST-3), a large randomised-controlled trial of intravenous alteplase versus control.

In particular, I am investigating whether imaging evidence of arterial obstruction (e.g. hyperdense artery sign as a surrogate marker or flow deficits on CT/MR angiography) and the results from advanced CT/MR perfusion techniques should influence our decision to treat patients with intravenous thrombolytic drugs.  This is especially important in an era where ischaemic stroke treatment is changing with new evidence supporting the use of direct clot retrieval.

I am also developing interests in the use of computational systems for the automated analysis of CT imaging in stroke and natural language processing algorithms for identifying and classifying stroke patients from within very large radiology report datasets.

My research is focused on investigating multiphase fluid flow migration in sandstones characterized by structural heterogeneities.

I have conducted several core flooding experiments using medical CT scanner and performed single-phase radiotracer pulse experiments using micro-PET imaging.

I also have expertise in image acquisition and image processing. I have developed an automatic post-reconstruction beam hardening correction for improving image qualities.

I work in machine learning and deep learning.

In my group we develop solutions for data analysis for imaging but also non imaging data developing new algorithms rooted in machine learning theory.

Central moto in our research is doing more with less, in other words how can we develop robust deep learning solutions without requiring lots of data.

This is extremely appealing in the area of health care were data are scarce.