We aim to develop methodology to analyse structural MRI data, as well as modelling and correcting the physics of image acquisition.
Our research focus is on developing methodology and tools for the analysis of structural MRI data. Examples of existing tools developed include linear and non-linear registration, tissue-type segmentation, subcortical structure segmentation, atrophy quantification, grey-matter change detection and brain extraction.
In addition, MRI physics modelling is used to enhance and test the methodologies. For example, we have developed methods that incorporate models for artefacts such as susceptibility-induced distortions and correct for these. This extends beyond structural MRI, with impacts in both diffusion and functional MRI. To this end a general MRI simulation engine has been developed (POSSUM) that has applications to analysis and acquisition development in structural, diffusion and functional MRI.
Increasingly, our work in this subgroup is joining with that of other groups to exploit cross-modal integration (XMI), such as in the segmentation/parcellation of subcortical and cortical regions using structural, diffusion and functional MR images.
FSL Tools Related to Structural analysis and Physics Modeling