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