paper-plane envelope home office pencil quill pen image images camera play bullhorn connection mic file-text2 file-picture file-music file-play file-video copy folder folder-open folder-plus folder-minus folder-download folder-upload price-tag price-tags ticket phone envelop pushpin location compass map map2 clock alarm fax mobile bubble bubbles user users user-plus user-minus user-check quotes-left quotes-right search pie-chart stats-dots stats-bars airplane cloud-download cloud-upload earth link flag eye eye-blocked arrow-up-left arrow-up arrow-up-right arrow-right arrow-down-right arrow-down arrow-down-left arrow-left2 share amazon google-plus google-drive facebook instagram twitter rss youtube flickr dropbox linkedin file-pdf file-openoffice file-word file-excel

UCL Cardiovascular Engineering Laboratory
Faculty of Engineering Sciences


Computational prediction of thrombosis risk in Atrial Fibrillation

We are developing new engineering tools to predict thrombus formation in the left atrial appendage a

Atrial Fibrillation and Thromboembolic Events

Thromboembolic events, such as stroke and vascular dementia, are mainly caused by atrial fibrillation (AF), the most prevalent cardiac arrhythmia which affects 1-2% of the population.

More than 90% of the left atrial thrombi generate in the left atrial appendage (LAA), a small like projection from the main body of the left atrium.

However, the function of the LAA and the hemodynamic processes occurring in this region during AF are still poorly known.

The aim of the project is to gain complete understanding of the LAA biomechanical and fluid-dynamic behaviour during physiological and pathological conditions by means of computational and experimental tools.

Specifically, engineering models allow studying and classifying different shapes of the LAA, and the use of advanced computational simulations provide important insights to investigate the phenomenon of blood clot formation in the different LAA shapes. The process is entirely non-invasive, as based only on medical imaging and on computer simulations.

Finally, having understood the relationship between LAA shape, blood flow phenomena and risk of thrombus formation, this work-flow could be translated in clinical practice, with the final goal to aid the clinicians in the selection of the optimal personalised clinical treatment.

Research Team

Giorgia BOSI

Research Associate - Numerical Research Coordinator


Lab Director


Reader in Biomedical Engineering - UCL Institute for Cardiovascular Sciences


Department Collaborator


Head of Cardiovascular Imaging - UCL Institute for Cardiovascular Sciences

Andrew COOK

Senior Lecturer - UCL Institute for Cardiovascular Sciences, UK

Andrea COLLI

Cardiothoracic Surgeon - University of Padua, Italy

Supported by:

Back to top