Dr. Katie (Catherine) Davey is a NIF PET Informatics Fellow, and Senior Lecturer in the Biomedical Engineering Department, in the School of Chemical and Biomedical Engineering at the University of Melbourne. Katie’s primary research area is in neuroimaging, in which images of brain structure and function are acquired using various modalities such as 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 (AI) and machine learning (ML) techniques, to acquire improved images (e.g., higher SNR) in less time, enhancing diagnostic accuracy, reducing scan time and increasing patient throughput. Katie and her team are developing the Next Generation Centiloid for Alzheimer’s disease, to improve monitoring and diagnostic precision, particularly in the early stages of Alzheimer’s pathology. Katie leads a number of collaborations, international and national, including with 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 Florey Institute of Neurosciences, modelling the neural pathways for bowel disease. Katie completed her doctoral research in functional MRI connectivity.
The Governor-General, Her Excellency the Honourable Sam Mostyn AC has announced the award of Australian Cancer Research Foundation’s (ACRF) 2024 grants at Government House in Canberra. The announcem
25 November 2024
Ultra-high field MRI is unveiling a picture of endurance, and helping to uncover the physical, social and emotional effects of Associate Professor Donna Urquhart’s incredible Antarctic ultramarathon
07 March 2024
31 October 2023
The Commonwealth Government Department of Education has today announced National Imaging Facility (NIF) will receive $28m under the National Collaborative Research Infrastructure Strategy (NCRIS), to
19 October 2023