The QNI project has already developed different proof-of-concept quantitative MRI reports.
| Cross-sectional dementia | |
|  | - T1-weighted MRI data post-processed with segmentation software tool GIF - Whole brain and regional GM volumes presented for each subject - Individual subject values were expressed as percentile estimates against a Gaussian distribution of normative GM volumes of c.500 healthy control subjects - The graph at the top indicates the subject's whole-brain GM volume, and the ‘rose' plot below shows the percentile of the GM volume in each lobe and important sub-regions being normal (green) or significantly atrophied (red) | 
| Cross-sectional epilepsy | |
|  | - Automated segmentation of the hippocampi using hipposeg  - Hipposeg: a multi-atlas-based segmentation algorithm (STEPS) with a template database of 400 manual segmentations - T2 maps calculated for each voxel from the signal at two different TEs using a monoexponential fit - Hippocampal volume and T2 relaxometry values for each subject presented in the context of a normative range derived from 115 control subjects | 
| Cross-sectional multiple sclerosis | |
|  | - FLAIR only MRI data post-processed with in-house segmentation software tool - Lesional, whole brain and regional GM volumes presented for each subject - Individual subject values are expressed as percentile estimates against a normative population of 1848 healthy control subjects from the MAGNIMS network and 847 people with MS from UCLH - Estimated brain age in comparison to biological age | 
| And soon: cross-sectional glioma report, longitudinal dementia report, longitudinal multiple sclerosis report, cross-sectional parkison disease report and cross-sectional neuro-muscular diseases. | |