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
-
Accelerated calibrationless parallel transmit mapping using joint transmit and receive low-rank tensor completion.
Journal article
Hess AT. et al, (2021), Magn Reson Med
-
Uncertainty in denoising of MRSI using low-rank methods
Journal article
Clarke W. and Chiew M., (2021)
-
Subspace-constrained approaches to low-rank fMRI acceleration
Journal article
Mason H. et al, (2020)
-
High-resolution metabolic mapping of the cerebellum using 2D zoom magnetic resonance spectroscopic imaging.
Journal article
Emir UE. et al, (2020), Magn Reson Med
-
The Set Increment with Limited Views Encoding Ratio (SILVER) Method for Optimizing Radial Sampling of Dynamic MRI
Journal article
Schauman SS. et al, (2020)