Script for visualizing ICA/ROI brain parcellation
Project description
brainbow
Script for visualizing ICA/ROI brain parcellation
Requirements
pip install brainbow
Examples
brainbow --nifti nifti.nii --anat anat.nii
Options for brainbow
-
--nifti
- path to the 4D nifti to convert to images
- required
-
--anat
- path to the anatomical image to use as underlay
- required
-
--output
- Name of the output file(s)
- default - brainbow-output.png/svg
- You can specify the exact extension (png or svg). If none is provided, both extensions will be used.
-
--dir
- name for the directory where to save results
- can be nested (e.g.,
final/most_final
) - default - directory where brainbow is executed
-
--sign
- choices:
pos, neg, both
- used for filtering only positive, only negative, or both components
- default -
both
- choices:
-
--thr
- threshold value for component significance
- default -
2.0
-
--dpi
- dpi for png output
- default -
300
Output example
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
brainbow-0.0.11.tar.gz
(4.7 kB
view hashes)
Built Distribution
Close
Hashes for brainbow-0.0.11-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | b0b946dd1a5d740a6d0b1df9c2b1bae7ac60bce61a66eba5a04a34ac4dbc6145 |
|
MD5 | bca1fac2da98bf5605624c41c3ba9c49 |
|
BLAKE2b-256 | ad0cf407bfba506895029ff25b55eaf60db7db2b07ce051b31b6fded98d7fcb2 |