- 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.
Time‐encoded pseudo‐continuous arterial spin labeling: Increasing
Woods JG. et al, (2022), Magnetic Resonance in Medicine
Simultaneous self-supervised reconstruction and denoising of sub-sampled
MRI data with Noisier2Noise
Millard C. and Chiew M., (2022)
Ultra-short T2 components imaging of the whole brain using 3D dual-echo UTE MRI with rosette k-space pattern.
Shen X. et al, (2022), Magn Reson Med
High-Resolution 3D Ultra-Short Echo Time MRI with Rosette k-Space Pattern for Brain Iron Content Mapping
Shen X. et al, (2022)
Optimization of 4D Combined Angiography and Perfusion using Radial Imaging and Arterial Spin Labeling
Okell TW. and Chiew M., (2022)