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.

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 clipping of background for PetLinear #1394

Merged
Merged
Changes from all commits
Commits
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
2 changes: 2 additions & 0 deletions docs/Pipelines/PET_Linear.md
Original file line number Diff line number Diff line change
Expand Up @@ -2,8 +2,10 @@
# `pet-linear` - Linear processing of PET images

This pipeline performs spatial normalization to the MNI space and intensity normalization of [PET](../glossary.md#pet) images.

Its steps include:

- clipping of the background to remove noisy values which can deteriorate further processing.
- affine registration to the [MNI152NLin2009cSym](https://bids-specification.readthedocs.io/en/stable/99-appendices/08-coordinate-systems.html#template-based-coordinate-systems) template [Fonov et al., [2011](https://doi.org/10.1016/j.neuroimage.2010.07.033), [2009](https://doi.org/10.1016/S1053-8119(09)70884-5)] in MNI space with the SyN algorithm [[Avants et al., 2008](https://doi.org/10.1016/j.media.2007.06.004)] from the [ANTs](http://stnava.github.io/ANTs/) software package [[Avants et al., 2014](https://doi.org/10.3389/fninf.2014.00044)]
- intensity normalization using the average [PET](../glossary.md#pet) uptake in reference regions resulting in a standardized uptake value ratio ([SUVR](../glossary.md#suvr)) map
- cropping of the registered images to remove the background
Expand Down
Loading