- Royal Academy of Engineering Research Fellow
- Head of Image Reconstruction
My research focuses on the development of methods and techniques for speeding up the acquisition of functional magnetic resonance imaging (FMRI) data. This is important for providing large amounts of finely sampled temporal information about the brain in shorter durations, reducing imaging times and facilitating research on the brain's functional architecture and dynamics.
I am currently exploring methods for acceleration using low-rank constraints and 3D measurement techniques at 3T and 7T magnetic field strengths to improve resting state FMRI data collection efficiency.
Accelerated calibrationless parallel transmit mapping using joint transmit and receive low-rank tensor completion.
Hess AT. et al, (2021), Magn Reson Med
Uncertainty in denoising of MRSI using low-rank methods
Clarke W. and Chiew M., (2021)
Subspace-constrained approaches to low-rank fMRI acceleration
Mason H. et al, (2020)
High-resolution metabolic mapping of the cerebellum using 2D zoom magnetic resonance spectroscopic imaging.
Emir UE. et al, (2020), Magn Reson Med
The Set Increment with Limited Views Encoding Ratio (SILVER) Method for Optimizing Radial Sampling of Dynamic MRI
Schauman SS. et al, (2020)