Mark Chiew, PhD
Associate Professor
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 functional MRI (fMRI), and methods for MR image reconstruction of highly accelerated data using sparse, low-rank and other spatio-temporal constraints. These techniques can be used to reduce acquisition times, improve spatial and/or temporal resolution, or increase robustness to physiological fluctuations or motion. 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
- Mason HT, Graedel NN, Miller KL, Chiew M, “Subspace-constrained approaches to low-rank fMRI acceleration”, bioRxiv 2020.12.15.422908 | preprint
- Hess AT, Dragonu I, Chiew M, “Accelerated calibrationless parallel transmit mapping using joint transmit and receive low-rank tensor completion”, arXiv:2011.06471 | preprint
- Wiltshire CEE, Chiew M, Chesters J, Mairead PH, Watkins KE “Speech movement variability in people who stutter: a vocal-tract MRI study”, PsyArXiv 2020; | preprint
- Schauman SS, Okell TW, Chiew M, “The Set Increment with Limited Views Encoding Ratio (SILVER) Method for Optimizing Radial Sampling of Dynamic MRI”, bioRxiv 2020.06.25.171017 | preprint
- Emir U, Sood J, Chiew M, Thomas MA, Lane S, “High-Resolution Metabolic Mapping of the Cerebellum Using 2D Zoom Magnetic Resonance Spectroscopic Imaging”, Magnetic Resonance in Medicine 2020; | doi | preprint
Funding Sources
- Royal Academy of Engineering Research Fellowship (RF201617\16\23)
- Engineering and Physical Sciences Research Council (EP/T013133/1)