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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Efficient 3D cone trajectory design for improved combined angiographic and perfusion imaging using arterial spin labeling
Preprint
Shen Q. et al, (2024)
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Motion Compensated Structured Low-rank Reconstruction for 3D Multi-shot EPI
Journal article
Chen X. et al, (2024), Magnetic Resonance in Medicine
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Self-navigated 3D diffusion MRI using an optimized CAIPI sampling and
structured low-rank reconstruction
Preprint
Li Z. et al, (2024)
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Accelerated Cardiac Parametric Mapping Using Deep Learning-Refined Subspace Models
Conference paper
Sheagren CD. et al, (2024), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14507 LNCS, 369 - 379
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Multi-site Ultrashort Echo Time 3D Phosphorous MRSI repeatability using novel Rosette Trajectory (PETALUTE)
Preprint
Alcicek S. et al, (2024)