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Research_

Cardiac translational imaging

Transforming the way we use imaging to better detect disease

We guide effective decision-making in cardiac health by using emerging technologies that provide better detection of early stages of disease.

We are transforming the way imaging is used to guide more effective decision-making in cardiac health.

Our work targets four streams of experiments:

  • 4D MRI flow measurements
  • CT derived fractional flow reserve
  • flow modelling macroscopic
  • forms of molecular contrast (PET, MRI, US).

We link novel preclinical basic science, new offline analysis methods and improved ways to visualise and interpret imaging data to our clinical studies.

One of the major issues facing cardiac imaging at the University is that most imaging research is clinically oriented and uses traditional standard measures.

While current clinical usage leans towards structural descriptions of late stages of disease, we embrace a combination of conventional techniques and cutting edge new imaging and analysis to improve detection of earlier stages of disease. 

Our work will develop a pathway for basic research advances in cardiac imaging, create improvements in clinical measures and provide fundamental insights into pathophysiological processes.

Domains

  • Biology
  • Solutions

Themes

Project Node Leader

Professor Stuart Grieve
Professor Stuart Grieve
Visit Stuart Grieve's profile