- 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.
Characteristics of articulatory gestures in stuttered speech: a case study using real-time magnetic resonance imaging
Lu Y. et al, (2022), Journal of Communication Disorders, 106213 - 106213
Model-based dynamic off-resonance correction for improved accelerated fMRI in awake behaving nonhuman primates.
Shahdloo M. et al, (2022), Magn Reson Med
Locally Structured Low-Rank MR Image Reconstruction using Submatrix Constraints
Chen X. et al, (2022), Proceedings - International Symposium on Biomedical Imaging, 2022-March
Model-based dynamic off-resonance correction for improved accelerated fMRI in awake behaving non-human primates
Shahdloo M. et al, (2021)
Uncertainty in denoising of MRSI using low-rank methods.
Clarke WT. and Chiew M., (2021), Magn Reson Med