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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Combined Angiographic, Structural and Perfusion Radial Imaging using Arterial Spin Labeling
Preprint
Okell TW. et al, (2025)
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Few-shot learning for highly accelerated 3D time-of-flight MRA reconstruction
Preprint
Li H. et al, (2025)
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Low-Rank Conjugate Gradient-Net for Accelerated Cardiac MR Imaging
Chapter
Patel JH. et al, (2025), 15448 LNCS, 334 - 344
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Clean Self-Supervised MRI Reconstruction from Noisy, Sub-Sampled Training Data with Robust SSDU.
Journal article
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.
Journal article
Kent JL. et al, (2024), Magn Reson Med, 92, 2007 - 2020