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Developing accurate, easy to use software for the diagnosis of coronary artery disease

Dr Amedeo Chiribiri (lead researcher)

King's College London

Start date: 01 July 2019 (Duration 2 years)

Calibrated multimodality quantitative myocardial perfusion analysis

When someone goes to hospital with chest pain, one of the causes can be coronary artery disease reducing the flow of blood to the heart. Doctors check this by using Cardiac Magnetic Resonance (CMR) and Computed Tomography (CT) to take pictures of the heart’s blood supply. However, interpreting the pictures accurately takes several years of expert training. Dr Amedeo Chiribiri and his team at King’s College London now want to devise an automated method to interpret the scan pictures. Measuring blood flow accurately is difficult, and current methods are based on estimates. However, true and reliable measurements need calibration of blood flow readings, similar to how a weighing machine needs to be calibrated to ensure that it is measuring the correct weight. The team will use a simulator of blood flow in the heart to provide the calibration, and develop software to interpret scan pictures. Then they will test the accuracy in heart scans of at least 30 patients with coronary artery disease. The researchers want to create user-friendly software that can be used widely across cardiology centres. The hope is that this will give many more patients access to more accurate diagnostics, to guide the right care and treatment.

Project details

Grant amount £268,851
Grant type Translational
Application type Translational Award
Start Date 01 July 2019
Duration 2 years
Reference TG/18/2/33768
Status In Progress
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