Fig. 1

Overview of study methods: Training and performance evaluation shows the input which is a combination of [¹⁸F] Florbetapir PET and T1 structural MRI following co-registration, segmentation and registration to MNI 152 space stratified by group. This is used to create a binarized mask of the AD z-score voxels to focus where most variance of Aβ occurs in AD, and this is applied to the whole data set with k-means clustering to map cluster results to anatomy where Aβ clusters 1–4 are shown. Clinical associations, model testing and optimisation, and performance evaluation compared to other spatial methods are conducted to form an algorithm. This algorithm allows the input of a new [¹⁸F] Florbetapir PET and T1 structural MRI and classifies the scan allowing for automated decision support