Using deep learning methods to generate contrast enhanced computerised tomography angiography without the use of intravenous contrast agents

In progress

25/05/2021

Artificial intelligence (AI)

South East

Diagnostic

Awarded amount: £246,226

Grant scheme: NET

Institution: University of Oxford

Principle Investigator: Dr Regent Lee

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Computerised tomography (CT or CAT) scans are widely used in healthcare. Special dyes, called contrast agents, are injected into the patient to make CT images of blood vessels clearer and allow for blockages to be detected.

However, these dyes can cause complications including kidney damage.

This project will investigate whether artificial intelligence (AI) can be used to make CT scanning of blood vessels safer by generating CT scans without the need for contrast dyes.
This would allow for the diagnosis of issues within the blood vessels without the risk of complications.