I have a bunch of micro-CT scanned mice skulls that I have thresholded them into skull segmentations.
Then, I used wrap solidify to get the whole endocast volume of the biggest cavity.
Since I don’t have any wet tissues when I did the scan, I can’t use methods like grow from seeds/fast marching to get regionalization, but I’m wondering if I can place reference points along the endocast to differentiate into different regions.
so far what I’ve figured out is to manually erase and fill different layers using logical operators and masking, or sometimes when wrap solidify failed to fill some parts (like olfactory) and then I go paint fill them out.
I’d like to ask for the brilliant minds here a way that is faster, more reliable (reproducible) to get regions of this endocast segmentation.
^This is one that’s purely by chance, but I’d like to further split out the cerebellum, etc.
Thanks so much!