The problem
Something that came up, but one thought was whether the indices of the merged labels would be consistent if the parcellations are dynamically created (e.g. thalamus segmentation per subject). The issue arises if different subjects have a different number of parcellations for whatever reason, leading to inconsistent labeling across subjects.
Currently, the the labels are merged in an incremental order based on what is present in the base and overlay images (correct me if I'm wrong here @tkkuehn. Need to give this some more thought, but one way could possibly to leverage the metadata to determine label indices (e.g. new overlay index = old overlay index + max(base overlay index)).
Environment
N/A
The problem
Something that came up, but one thought was whether the indices of the merged labels would be consistent if the parcellations are dynamically created (e.g. thalamus segmentation per subject). The issue arises if different subjects have a different number of parcellations for whatever reason, leading to inconsistent labeling across subjects.
Currently, the the labels are merged in an incremental order based on what is present in the base and overlay images (correct me if I'm wrong here @tkkuehn. Need to give this some more thought, but one way could possibly to leverage the metadata to determine label indices (e.g.
new overlay index = old overlay index + max(base overlay index)).Environment
N/A