Prof. Paul Leeson, University of Oxford
Stress echocardiography has become established as
one of the most widely applied non-invasive imaging test
for diagnosis of coronary artery disease. However, stress
echocardiography is substantially qualitative, rather than
quantitative, based on visual wall motion assessment
by the operator. Our research team in Oxford have been
developing new approaches to quantify cardiovascular
imaging including investigating the application of machine
learning and artificial intelligence methodologies to large scale datasets, with both
source ultrasound imaging data and clinical outcome. This work has resulted in new
image analysis approaches that, when applied to stress echocardiography, provide
for the first time, accurate, consistent and quantitative interpretation. These tools
are now being evaluated on ‘real world’ images from cardiology centres across the UK
and are also being developed for use, more broadly, within echocardiography.
Lectures held at 6.45pm in the Martin Wood Lecture Theatre, Clarendon Laboratory,
Parks Road, Oxford University, OX1 3PU email firstname.lastname@example.org.
Refreshments are served from 6.30pm.
Please use the link below register for the lecture.