Leigh Johnston
University of Melbourne Node Director
Professor Leigh Johnston is the Director of the Melbourne Brain Centre Imaging Unit and a faculty member in the Department of Biomedical Engineering and Assistant Dean Research Training in the Melbourne School of Engineering. Prior to her appointment at the University of Melbourne, Leigh was a research fellow at York University in Canada and the Universite catholique de Louvain in Belgium. Leigh’s research interests are focussed on the development of improved imaging techniques for interrogating fundamental questions in neuroscience and include pulse design for high field MRI, statistical analysis methods for functional MRI connectivity mapping, biophysical modelling for diffusion-weighted MRI, and acquisition and analysis techniques for high-field sodium imaging.
Related News
Major boost for cancer research at Peter Mac
Professor Michael Hofman appeared on 2GB Radio to talk about a recent major boost for cancer research at Peter MacCallum Cancer Centre.
25 February 2025
ACRF awards include $12 million funding toward NIF-supported national total-body PET/CT network to advance cancer research
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
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Breaking world records and gender barriers
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
Ten News: Revolutionary scan: PSMA PET scans aimed at better management of prostate cancer
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Related Publications
Differential activation of lateral parabrachial nuclei and their limbic projections during head compared with body pain: A 7-Tesla functional magnetic resonance imaging study
Rebecca V Robertson, Noemi Meylakh, Lewis S Crawford, Fernando A Tinoco Mendoza, Paul M Macey, Vaughan G Macefield, Kevin A Keay, Luke A Henderson
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Recovering high-quality fiber orientation distributions from a reduced number of diffusion-weighted images using a model-driven deep learning architecture
Joseph J. Bartlett, Catherine E. Davey, Leigh A. Johnston, Jinming Duan
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