- 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.
A Theoretical Framework for Self-Supervised MR Image Reconstruction Using Sub-Sampling via Variable Density Noisier2Noise.
Millard C. and Chiew M., (2023), IEEE Trans Comput Imaging, 9, 707 - 720
High-resolution 3D ultra-short echo time MRI with Rosette k-space pattern for brain iron content mapping.
Shen X. et al, (2023), J Trace Elem Med Biol, 77
Improving robustness of 3D multi-shot EPI by structured low-rank reconstruction of segmented CAIPI sampling for fMRI at 7T.
Chen X. et al, (2023), Neuroimage, 267
Optimization of 4D combined angiography and perfusion using radial imaging and arterial spin labeling.
Okell TW. and Chiew M., (2022), Magn Reson Med
Time‐encoded pseudo‐continuous arterial spin labeling: Increasing
Woods JG. et al, (2022), Magnetic Resonance in Medicine