Mark Chiew Profile Picture 

Mark Chiew, PhD
University Research Lecturer
Royal Academy of Engineering Research Fellow
Wellcome Centre for Integrative Neuroimaging
Nuffield Department of Clinical Neurosciences
University of Oxford

Contact

Wellcome Trust Centre for Integrative Neuroimaging (FMRIB)
John Radcliffe Hospital
OX3 9DU
Oxford
United Kingdom

mark.chiew@ndcn.ox.ac.uk
+44 (0) 1865 611287

Research Summary

My research focuses on the development of data acquisition and image reconstruction techniques for magnetic resonance imaging, mostly in the brain, at 3T and 7T magnetic field strengths. My group works on pulse sequences and k-space sampling trajectories for fMRI, and methods for MR image reconstruction of highly accelerated data using sparse, low-rank and spatio-temporal constraints. While my main area of interest is fMRI, I am also involved in angiography and perfusion imaging using ASL, spectroscopic imaging, vocal-tract real-time MRI, and multi-modal imaging (simultaneous EEG+fMRI).

Recent Publications

  • Xia P, Chiew M, Zhou X, Thomas MA, Dydak U, Emir UE, “Density-Weighted Concentric Ring Trajectory using simultaneous multi-band acceleration: 3D Metabolite-cycled Magnetic Resonance Spectroscopy Imaging at 3 T”, bioRxiv 2019; 628594 (preprint)

  • Schauman SS, Chiew M, Okell TW, “Highly Accelerated Vessel-Selective Arterial Spin Labelling Angiography using Sparsity and Smoothness Constraints”, Magnetic Resonance in Medicine, 2019; (Online Early View) (web)

  • Chiew M, Miller KL, “Improved Statistical Efficiency of Simultaneous Multi-Slice fMRI by Reconstruction with Spatially Adaptive Temporal Smoothing”, NeuroImage 2019; (Online Early View) (web)

  • O'Brien CF, Okell TW, Chiew M, Jezzard P “Volume-Localized Measurement of Oxygen Extraction Fraction in the Brain using Magnetic Resonance Imaging”, Magnetic Resonance in Medicine 2019; (Online Early View) (web)

  • Steel A, Chiew M, Jezzard P, Voets N, Plaha P, Thomas MA, Stagg C, Emir UE, “Metabolite-cycled density-weighted concentric rings k-space trajectory (DW-CRT) enables 1H magnetic resonance spectroscopic imaging at 3-Tesla”, Scientific Reports 2018; 8:7792 (web)

  • Chiew M, Graedel NN, Miller KL, “Recovering task fMRI signals from highly under-sampled data with low-rank and temporal subspace constraints”, NeuroImage 2018; 174:97-110 (web)

  • Chiew M, Jiang W, Burns B, Larson P, Steel A, Jezzard P, Thomas MA, Emir UE, “Density-Weighted Concentric Rings K-Space Trajectory for 1H Magnetic Resonance Spectroscopic Imaging at 7 Tesla”, NMR in Biomedicine 2018; 31(1):e3838 (web)

  • Weizman L, Miller KL, Eldar YC, Chiew M, “PEAR: PEriodic And fixed Rank separation for fast fMRI”, Medical Physics 2017; 44(12):6166-6182 (web)

  • Emir UE, Burns B, Chiew M, Jezzard P, Thomas MA, “Non-Water-Suppressed Short-Echo-Time Magnetic Resonance Spectroscopic Imaging using a Concentric Ring k-space Trajectory”, NMR in Biomedicine 2017; 30(7) (web)

  • Graedel NN, McNab JA, Chiew M, Miller KL, “Motion correction for functional MRI with three-dimensional hybrid radial-Cartesian EPI”, Magnetic Resonance in Medicine 2017; 78(2):527-540 (web)