Imaging: Our People

Interested in technology translation - clinical application.
Imaging performance quantification (EPSRC PhD).
Virtual reality (BRET).
3D printing.
Machine Learning.
Training.

Paediatric neuroimaging. Neonatal neuroimaging. Fetal neuroimaging. Developmental brain abnormalities. Acquired brain pathology in the fetus and neonate. Neurological rare diseases

Interest: from images to physiology.
Better decision making for treating patients with CHD.
Personalised medicine.
Bring computational modelling into mainstream cardiology.
Foster new researchers.

My research focuses on adult neuroadiology, mainly, the imaging of gluten related neurological disease and degenerative cerebellar diseases.

Development of quantitative imaging biomarkers and applications in clinical practice, drug development and discovery science.

Primary clinical area: Pulmonary vascular Disease

Main research areas Optimising diagnostic, prognostic and treatment response assessments with a focus on image post processing with machine learning

Quantitative MRI:
Diffusion, Perfusion, Permeability, Relaxometry.
Image Processing:
Registration, Segmentation.
Applications:
Epilepsy, Stroke, Dementia, Ataxia, Tumours, Fetal.

Quantitative CT imaging
Pulmonary hypertension
Artificial intelligence
Chest and cardiac imaging