Project Details

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Michael Chappell

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Establishing confidence in the sensitivity of Arterial Spin Labelling Perfusion MRI for diagnostic applications in dementia


Brain health critically depends on high levels of tissue perfusion requiring tight control of cerebral blood flow (CBF). Arterial Spin Labelling (ASL) is a safe and fast way to measure CBF using MRI, making it an ideal adjunct diagnostic as part of clinical scans. With almost no perceived difference to the patient, ASL could be used to enhance the diagnostic specificity above conventional anatomical MRI. The critical challenges to translation of ASL include limited robustness, standardisation and accuracy; largely preventing its clinical diagnostic application in individual patients. This project focuses on building confidence in ASL when coupled with our advanced machine learning tools for clinical application in dementia.




University of Nottingham

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