- Dataset comprises 104 brains, which have been registered in a group-wise fashion in VXL
- Perturb the data uniformly and create a collection of perturbed image sets (repeat 10 times for better statistics)
- The perturbed sets need to have pixel displacements which increase linearly between each given set and its predecessors
- Apply symmetric shuffle distance with radius of size 1-5 (Euclidean and shuffles)
- 1000 synthetic images to be generated
- Derive Generalisability and Specificity with errors for all shuffle radii
- Derive sensitivity
- Repeat 5 time for all sets of perturbed images and take the averages