Dr Declan O'Regan is an MRC Senior Clinician Scientist and Consultant Radiologist who heads the Robert Steiner MRI suite (Mansfield Centre for Innovation) on the Hammersmith Hospital campus and is lead clinician for Imaging Research at Imperial College Healthcare NHS Trust.
His main research interest is mathematical modelling of the heart using human MR imaging to understand the genetic and physiological mechanisms that underpin cardiovascular disease. His projects include:
- Developing high-resolution MRI techniques for capturing cardiac structure and motion in three-dimensions.
- Applying segmentation algorithms to create a three-dimensional statistical representation of cardiovascular phenotypic variation.
- Modelling the effects of blood pressure and body composition on cardiac structure.
- Automated survival prediction using computational models of heart failure.
- Discovery of genotype-phenotype associations using whole-organ models.
- Evaluating the effect of rare variants on the cardiovascular phenotype.
- Optimising clinical decision making using Bayesian networks
- Using exercise cardiac MRI as a predictor of outcomes in pulmonary hypertension and discovering the effects of normobaric hypoxia on cardiac function.
His interdisciplinary collaborators include Prof Stuart Cook, Prof Daniel Rueckert, and Prof Ewan Birney. This research is funded by NIHR, BHF and MRC.
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et al., 2018, Fractal Analysis of Right Ventricular Trabeculae in Pulmonary Hypertension, Radiology, Vol:288, ISSN:0033-8419, Pages:386-395
et al., 2018, Genetic Etiology for Alcohol-Induced Cardiac Toxicity, Journal of the American College of Cardiology, Vol:71, ISSN:0735-1097, Pages:2293-2302
et al., 2018, Three-dimensional cardiovascular imaging-genetics: a mass univariate framework, Bioinformatics, Vol:34, ISSN:1367-4803, Pages:97-103
et al., 2017, Inhibition of pyruvate dehydrogenase kinase improves pulmonary arterial hypertension in genetically susceptible patients, Science Translational Medicine, Vol:9, ISSN:1946-6234
et al., 2017, Machine Learning of Three-dimensional Right Ventricular Motion Enables Outcome Prediction in Pulmonary Hypertension: A Cardiac MR Imaging Study, Radiology, Vol:283, ISSN:0033-8419, Pages:381-390
et al., 2017, Titin-truncating variants affect heart function in disease cohorts and the general population, Nature Genetics, Vol:49, ISSN:1061-4036, Pages:46-53
et al., 2016, Pulmonary Artery Stiffness Is Independently Associated with Right Ventricular Mass and Function: A Cardiac MR Imaging Study, Radiology, Vol:280, ISSN:0033-8419, Pages:398-404
et al., 2016, Moderate Physical Activity in Healthy Adults Is Associated With Cardiac Remodeling, Circulation-Cardiovascular Imaging, Vol:9, ISSN:1941-9651
et al., Deep learning cardiac motion analysis for human survival prediction, Nature Machine Intelligence, ISSN:2522-5839