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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Time-encoded pseudo-continuous arterial spin labeling: increasing SNR in ASL dynamic angiography
Journal article
Woods J. et al, (2022), Magnetic Resonance in Medicine
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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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Ultrahigh Resolution fMRI at 7T Using Radial-Cartesian TURBINE Sampling.
Journal article
Graedel NN. et al, (2022), Magn Reson Med
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Model-based dynamic off-resonance correction for improved accelerated fMRI in awake behaving nonhuman primates.
Journal article
Shahdloo M. et al, (2022), Magn Reson Med, 87, 2922 - 2932
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Locally Structured Low-Rank MR Image Reconstruction using Submatrix Constraints
Conference paper
Chen X. et al, (2022), Proceedings - International Symposium on Biomedical Imaging, 2022-March