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
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Clean Self-Supervised MRI Reconstruction from Noisy, Sub-Sampled Training Data with Robust SSDU.
Millard C. and Chiew M., (2024), Bioengineering (Basel), 11
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Accelerated 3D multi-channel B 1 + mapping at 7 T for the brain and heart.
Kent JL. et al, (2024), Magn Reson Med, 92, 2007 - 2020
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Self-navigated 3D diffusion MRI using an optimized CAIPI sampling and structured low-rank reconstruction estimated navigator.
Li Z. et al, (2024), IEEE Trans Med Imaging, PP
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Motion correction with subspace-based self-navigation for combined angiography, perfusion and structural imaging
Shen Q. et al, (2024)
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Ultra-high temporal resolution 4D angiography using arterial spin labeling with subspace reconstruction
Shen Q. et al, (2024)