Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

DOC: document reg initial transform #616

Merged
merged 2 commits into from
May 6, 2024
Merged

DOC: document reg initial transform #616

Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
9849b77
DOC: document reg initial transform
cookpa May 6, 2024
ac62a96
DOC: formatting
cookpa May 6, 2024
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
12 changes: 7 additions & 5 deletions ants/registration/interface.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -66,7 +66,7 @@ def registration(
See Notes below for more.

initial_transform : list of strings (optional)
transforms to prepend
transforms to prepend. If None, a translation is computed to align the image centers of mass.

outprefix : string
output will be named with this prefix.
Expand Down Expand Up @@ -193,10 +193,12 @@ def registration(
with mutual information as optimization metric.
- "SyNRA": Symmetric normalization: Rigid + Affine + deformable
transformation, with mutual information as optimization metric.
- "SyNOnly": Symmetric normalization: no initial transformation,
with mutual information as optimization metric. Assumes
images are aligned by an inital transformation. Can be
useful if you want to run an unmasked affine followed by
- "SyNOnly": Symmetric normalization with no rigid or affine stages.
Uses mutual information as optimization metric. Affine alignment is
from the initial_transform arg, either provide the .mat from linear
registration or use initial_transform='Identity' if the images are
already affinely aligned.
Can be useful if you want to run an unmasked affine followed by
masked deformable registration.
- "SyNCC": SyN, but with cross-correlation as the metric.
- "SyNabp": SyN optimized for abpBrainExtraction.
Expand Down