A package to view Nifti files in a BIDS dataset and generate QC plots.
Project description
CPAC-QC Plotting App
PDF Report
example PDF report here: PDF REPORT
HTML Report
Overview
The CPAC-qc Plotting App is a tool designed to generate quality control plots for the CPAC (Configurable Pipeline for the Analysis of Connectomes) outputs. This app helps in visualizing and assessing the quality of neuroimaging data processed through CPAC.
Updates
- Outputs PDF (default) and HTML report (with -html flag) now.
- Default config has overlays.
Features
- Generate bulk or subject specific plots and reports.
Requirements
- BIDS dir with
.nii.gzimages in it. - (Optional) A html viewing tool or extension
- PDF viewer
Installation
pip install CPACqc
Usage
- Minimal code
cpacqc -d bids_dir
This will output a pdf report report.pdf in your current directory.
- HTML report
cpacqc -d bids_dir -html
This will create a pdf report.pdf along with a results dir with HTML report index.html and related files.
- Running single/multiple Subjects
cpacqc -d bids_dir -s subject-id_1 subject-id_2
You can hand pick a single or a multiple subjects with -s flag
- Running with defined number of procs
cpacqc -d path/to/bids_dir -n number-of-procs
Note: if -n is not provided default is 8
- Running all Subjects in the dir
cpacqc -d path/to/bids_dir
or simply
cpacqc -d path/to/bids_dir
- Providing Overlays config
cpacqc -d path/to/bids_dir -c ./overlay.csv
where overlay.csv can be in format
output,underlay
desc-preproc_bold, desc-preproc_T1w
and so on. If not provided a default config will be used.
Viewing
Use any PDF viewer to view *report.pdf file.
If -html enabled, Use any .html viewer extension to view index.html in the results dir.
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