Cardiovascular imaging

Cardiovascular disease remains the biggest killer in the western world. Cardiovascular Imaging, which includes a range of complementing modalities, plays a key role in the diagnosis, monitoring, and treatment of the disease. At the Hamlyn Centre, we work on a broad range of imaging modalities, particularly in cardiovascular magnetic resonance imaging. These include the development of accurate cardiac function measurement including phase contrast velocity mapping, myocardial perfusion and coronary imaging. We work closely with CORDA, Royal Brompton Hospital, and St Mary’s Hospital, London.

Our research is motivated by the need for early diagnosis of cardiovascular disease when it can be controlled or reversed with non-invasive therapy. Imaging is increasingly moving from being a primarily diagnostic modality towards a therapeutic and interventional aid, facilitated by advances in minimal access and robotic-assisted surgery and the emergence of novel drugs and other forms of treatment.

Research themes

Research themes

Cardiovascular MRI

Locally focussed and motion compensated imaging sequence design, real-time imaging architecture and reconstruction, phase contrast velocity mapping and multi-directional flow reconstruction, myocardial contractility, perfusion, diffusion mapping and fibre tracking.

Cardiovascular modelling and image analysis

Subject specific haemodynamic modelling, statistical shape models and dynamic shape instantiation, machine learning and Bayesian methods for pharmacokinetic and perfusion modelling, and reinforcement learning for medical image analysis.

Robotically assisted endovascular intervention

Continuum robot and novel actuation design for endovascular intervention, visual-servoing from limited view reconstruction, force-feedback and ergonomic considerations for catheter robots, and learning-based modelling of endovascular navigation for collaborative robotic catheterisation.

Selected publications

Dowsey AWDowsey AW, Keegan J, Lerotic M, Thom S, Firmin D, Yang GZ
Motion-compensated MR valve imaging with COMB tag tracking and super-resolution enhancement
Med Image Anal. 2007 Oct; 11(5):478-91. Epub 2007 Jul 24


Dowsey AWDowsey AW, Merrifield RD, Yang GZ
Adaptive cardiovascular imaging: challenges and opportunities for real-time processing
IEEE Signal Processing Magazine, 2006 Sept; 23(5): 112 - 116


Yang GZ

Yang GZ, Merrifield R, Masood S, Kilner PJ
Flow and myocardial interaction: an imaging perspective
Philos Trans R Soc Lond B Biol Sci. 2007 Aug 29; 362(1484):1329-41


Ablitt NA

Ablitt NA, Gao JX, Keegan J, Stegger L, Firmin DN, Yang GZ
Predictive Cardiac Motion Modeling and Correction with PLSR
IEEE Transactions on Medical Imaging, 2004 Oct;23(10):1315-24


Panting JRPanting JR, Gatehouse PD, Yang GZ, et al
Abnormal subendocardial perfusion in cardiac syndrome-X detected by cardiovascular magnetic resonance
New Engl J Med 2002;346: 1948-53

Panting JRPJ Kilner, GZ Yang, RH Mohiaddin, DN Firmin, M Yacoub
Asymmetric redirection of flow through the heart
Nature. 2000 Apr 13;404(6779):759-61


Masood SMasood S, Yang GZ, Pennell DJ, Firmin DN
Investigating Intrinsic Myocardial Mechanics - the role of MR tagging, velocity phase mapping and diffusion imaging
JMRI,2000 Dec;12(6):873-83


Panting JRYang GZ, Kilner, PJ, Wood, NB, Underwood, SR
Computation of Flow Pressure Fields from Magnetic Resonance Velocity Mapping
Magn Reson Med, 1996; 36, 520-526