Katie Davey

University of Melbourne PET Informatics Fellow

Dr. Catherine (Katie) Davey is a NIF PET Informatics Fellow at the University of Melbourne node based at the Melbourne Brain Centre Imaging Unit and holds an academic appointment in the Department of Biomedical Engineering. Katie’s primary focus is neuroimaging, imaging brain structure and function across multiple modalities including PET, MRI, fNIRS, EEG and DSA, with a particular focus on PET.

Katie and her team work on advanced techniques to improve image acquisition, reconstruction and analysis, applying stochastic signal processing techniques, in conjunction with artificial intelligence and machine learning techniques, to acquire improved images (e.g., higher SNR) in less time, enhancing diagnostic accuracy, reducing scan time and increasing patient throughput. Katie and the MBCIU team are improving the quantification of metrics for monitoring Alzheimer’s disease, particularly in the early stages of Alzheimer’s pathology. Katie leads national and international collaborations, including with the Yale PET Centre to improve PET harmonisation, Imperial College of London to investigate the encoding and storage of location information by place cells using calcium imaging, St Vincent’s Hospital applying AI in laparoscopic cholecystectomy, and the Florey modelling the neural pathways for bowel disease. Katie completed her doctoral research in functional MRI connectivity at the University of Melbourne.