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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Model-based dynamic off-resonance correction for improved accelerated fMRI in awake behaving non-human primates
Journal article
Shahdloo M. et al, (2021)
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Uncertainty in denoising of MRSI using low-rank methods.
Journal article
Clarke WT. and Chiew M., (2021), Magn Reson Med
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Myelin Imaging Using 3D Dual-echo Ultra-short Echo Time MRI with Rosette k-Space Pattern
Journal article
Shen X. et al, (2021)
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Subspace-constrained approaches to low-rank fMRI acceleration.
Journal article
Mason HT. et al, (2021), Neuroimage, 238
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Improving robustness of 3D multi-shot EPI by structured low-rank reconstruction of segmented CAIPI sampling for fMRI at 7T
Journal article
Chen X. et al, (2021)