Mark Chiew
PhD
University Research Lecturer
- 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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Improved statistical efficiency of simultaneous multi-slice fMRI by reconstruction with spatially adaptive temporal smoothing.
Journal article
Chiew M. and Miller KL., (2019), Neuroimage
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Highly Accelerated Vessel-Selective Arterial Spin Labelling Angiography using Sparsity and Smoothness Constraints
Journal article
Schauman SS. et al, (2019), Magnetic Resonance in Medicine
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Volume-localized measurement of oxygen extraction fraction in the brain using MRI.
Journal article
O'Brien C. et al, (2019), Magn Reson Med
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Recovering task fMRI signals from highly under-sampled data with low-rank and temporal subspace constraints.
Journal article
Chiew M. et al, (2018), Neuroimage, 174, 97 - 110
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Metabolite-cycled density-weighted concentric rings k-space trajectory (DW-CRT) enables high-resolution 1 H magnetic resonance spectroscopic imaging at 3-Tesla.
Journal article
Steel A. et al, (2018), Sci Rep, 8