Comments (1)
There is an overview of the different files here:
https://github.com/Deep-MI/FastSurfer/blob/dev/doc/overview/OUTPUT_FILES.md
Generally, wmparc
is the white matter parcellation, while aparc
is the gray matter parcelleation. So they are not comparable.
Also, aparc.DKTatlas+aseg.deep.withCC.mgz
is the parcellation based on the segmentation from the segmentation pipeline, without the updates from the the FreeSurfer surface reconstruction. wmparc.DKTatlas.mapped.mgz
is after surface updates (mapped
), where the parcellation from the surface is mapped
to the image. So gray matter statistics between wmparc.DKTatlas.mapped.mgz
and aparc.DKTatlas+aseg.mapped.mgz
should not really differ.
from fastsurfer.
Related Issues (20)
- Support for lesion masks? HOT 1
- Unmatched ROIs in predicted segmentation and provided FastSurfer_ColorLUT.tsv HOT 23
- FastSurfer Segmentation Modules: disable conformation of input image to isometric spaces HOT 5
- FastSurfer QuickSeg doesn't work with OASIS `.img` files HOT 3
- Docker build workflows HOT 5
- Model download issue HOT 22
- invalid index in smooth_aparc.py HOT 7
- FastSufer for multiple subjects HOT 4
- DKTAtlas instead of aparc.stats file in FastSurfer HOT 3
- recon_surf//functions.sh: line 38: -debug: command not found HOT 6
- no-cache argument for build.py HOT 2
- Updated Docker Image HOT 1
- Website hosting checkpoints down HOT 5
- Anterior/Posterior Commissure Segmentation HOT 6
- ERROR: FastSurfer asegdkt segmentation failed. HOT 8
- Surface module fail in dev HOT 6
- Reference to deprecated docker images in surface pipeline docs HOT 5
- Corresponding Stats output of FastSurfer to "Recon-all" HOT 6
- Missing files compared to freesurfer HOT 5
- CerebNet support for submillimeter images? HOT 2
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from fastsurfer.