PhD, FInstP, CPhys
Herbert Dunhill Professor of Neuroimaging
- FMRIB/WIN Physics Group
Magnetic Resonance Imaging Physics and Methods Development
My group develops novel physiological MRI methods for the study of healthy and diseased brain.
I am particularly interested in techniques for mapping the macroscopic and microscopic neurovasculature. I collaborate closely with various clinical groups, in particular through the Oxford Acute Vascular Imaging Centre (AVIC), on the development of rapid imaging approaches to aid in the diagnosis and treatment of acute stroke. A second thread of research aims to advance ultra-high field imaging, utilizing our 7-tesla scanner. This research combines novel imaging hardware, including parallel RF transmission, with state-of-the-art acquisition techniques. Finally, I also work with the Dept of Psychiatry on the development of spectroscopic measurement of neurotransmitters.
I am an active member of University College and hold leadership roles in several imaging centres within Oxford (see links to left). In the broader scientific community, I have been active in the International Society for Magnetic Resonance in Medicine in a range of capacities, and am the Editor-in-Chief of the Society journal Magnetic Resonance in Medicine from January 2020.
Adapting the UK Biobank brain imaging protocol and analysis pipeline for the C-MORE multi-organ study of COVID-19 survivors
Griffanti L. et al, (2021)
Atypical measures of diffusion at the gray-white matter boundary in autism spectrum disorder in adulthood
Bletsch A. et al, (2021), Human Brain Mapping, 42, 467 - 484
Medium-term effects of SARS-CoV-2 infection on multiple vital organs, exercise capacity, cognition, quality of life and mental health, post-hospital discharge.
Raman B. et al, (2021), EClinicalMedicine, 31
Assessment of radio-frequency heating of a parallel transmit coil in a phantom using multi-echo proton resonance frequency shift thermometry.
Jeong H. et al, (2020), Magn Reson Imaging, 77, 57 - 68
An investigation into the minimum number of tissue groups required for 7T in-silico parallel transmit electromagnetic safety simulations in the human head.
de Buck MHS. et al, (2020), Magn Reson Med