Gary F. Egan

This paper introduces an automated PET motion correction method using multi-contrast MR co-registration, improving PET image quality in MR-PET scans.

This study improves automated vein segmentation in MRI by combining susceptibility-weighted images, quantitative susceptibility maps, and a vein atlas into a composite vein image, showing significant performance gains.

The paper uses resting state fMRI to show functional coupling between the default mode network, medial temporal lobe, and ascending synchronising system via theta oscillations.