Artificial intelligence for reducing radiation exposure and cancer risk in children
Chief Investigator: Dr Minh-So To
Funding Amount : $100,000
Recipient: Flinders University
Computed tomography (CT) and magnetic resonance imaging (MRI) are commonly used for diagnostic imaging. CT is preferred for visualising bony structures, while MRI is superior for soft tissues. The use of CT in children is associated with an increased incidence of cancer in later life. In contrast, MRI utilises non-ionising radiation and is not associated with this risk. In this study, we will develop and validate state-of-the-art artificial intelligence (AI) algorithms to generate CT-like bony images from MRI. Clinical deployment of this technology will enable reduced reliance on CT for a wide variety of indications in paediatric imaging.