Mark Chiew, PhD
Associate Professor
Royal Academy of Engineering Research Fellow
Wellcome Centre for Integrative Neuroimaging
Nuffield Department of Clinical Neurosciences
University of Oxford
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 strategies and computational methods for reconstruction of magnetic resonance imaging data. My group works mostly in neuroimaging, at both 3 T and 7 T magnetic field strengths.
Some research themes include the development of 3D acquisition and sampling strategies for functional MRI, and the reconstruction of highly under-sampled MRI data using sparse or low-rank models, or learned models with deep neural networks. We explore the application of computational imaging techniques to MRI for reducing acquisition times, improving spatial and/or temporal resolution, or improving robustness to physiological fluctuations or motion. In addition to fMRI, I am also interested in angiography and perfusion imaging with ASL, spectroscopic imaging, real-time MRI and multi-modal imaging.
Recent Publications
- Graedel NN, Miller KL, Chiew M. Ultrahigh Resolution fMRI at 7T Using Radial-Cartesian TURBINE Sampling, Magnetic Resonance in Medicine n/a(n/a) doi:10.1002/mrm.29359
- Millard C, Chiew M. A framework for self-supervised MR image reconstruction using sub-sampling via Noisier2Noise, 2022; doi:10.48550/arXiv.2205.10278
- Millard C, Chiew M, Tanner J, Hess AT, Mailhe B. Tuning-free multi-coil compressed sensing MRI with Parallel Variable Density Approximate Message Passing (P-VDAMP), 2022; doi:10.48550/arXiv.2203.04180
- Lu Y, Wiltshire CEE, Watkins KE, Chiew M, Goldstein L. Characteristics of articulatory gestures in stuttered speech: A case study using real-time magnetic resonance imaging, Journal of Communication Disorders 2022; 97:106213 doi:10.1016/j.jcomdis.2022.106213
- Shahdloo M, Schüffelgen U, Papp D, Miller KL, Chiew M. Model-based dynamic off-resonance correction for improved accelerated fMRI in awake behaving nonhuman primates, Magnetic Resonance in Medicine 2022; 87(6):2922–2932 doi:10.1002/mrm.29167
Funding Sources
- Royal Academy of Engineering Research Fellowship (RF201617\16\23)
- Engineering and Physical Sciences Research Council (EP/T013133/1)