Simon Robinson

This study evaluates four phantom doping materials for quantitative susceptibility mapping (QSM) by measuring molar susceptibility and test-retest repeatability at 3T and 7T.

The paper develops a multi-model consensus deep learning approach for automated gold fiducial marker segmentation in prostate MRI, achieving high sensitivity and precision.

This paper introduces a phase-contrast MRI technique to quantify slow cerebrospinal fluid flow in the human brain, showing cardiac pulsation drives brain-wide flow more than respiration.

This study demonstrates that high-resolution 7T time-of-flight MRI can image pial arteries in vivo, showing that resolution, not blood flow speed, limits visualization of these vessels.

PREPAIR corrects physiological noise in fMRI data using phase and magnitude information, outperforming existing methods without external recordings.

QSMxT improves QSM processing by reducing artefacts and requiring minimal parameter tuning through a robust masking and two-pass reconstruction method.

This paper introduces ROMEO, a fast and accurate MRI phase unwrapping algorithm that outperforms existing methods in speed and reliability for challenging phase topographies.