Comments (2)
Hi,
if your orientation is similar to HCP images I would just run TractSeg. If you get good segmentations of the different bundles, then you are fine. If not, then I would register the data to MNI space.
from tractseg.
Thanks for your response~
from tractseg.
Related Issues (20)
- Tractometry outputs 50 tracts only HOT 1
- Tractometry results: suboptimal alignment of tracts across subjects? HOT 3
- Couldn't run HCP tutorial in docker HOT 2
- Error parsing subjexts.txt file HOT 1
- Segmenting normal appearing tracts - question HOT 4
- StatefulTractogram HOT 1
- Tracking issues mac os 13.1 HOT 3
- Question about the training data for my own TOM network HOT 5
- plot_3D option generates error
- Please some feedback on Issue 219
- loss become minus when train my own TOM model
- Definition of AF and SLF-III HOT 2
- Apply TractSeg to the study specific population template using the peaks of the spherical harmonic function at each voxel as input HOT 9
- error message when tracking HOT 10
- About trk_2_binary.py HOT 4
- No such file or no access "template/TOM/bundle_segmentations/AF_left.nii.gz HOT 1
- Very minor setup.py problem HOT 1
- About bundle_masks.nii.gz
- Plot3D error HOT 1
- CUDA error with M1 chip HOT 2
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from tractseg.