Skip to main content

A package to view Nifti files in a BIDS dataset and generate QC plots.

Project description

CPAC-QC Plotting App

CPAC-QC

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.

Features

  • Generate bulk or subject specific plots

Requirements

  • A html viewing tool or extension
  • BIDS dir with .nii.gz images in it.

Installation

pip install CPACqc

Usage

  1. Running Single Subject
cpacqc -d path/to/bids_dir -o path/to/output-qc-dir -s subject-id -n number-of-procs
  1. Running all Subjects in the dir
cpacqc -d path/to/bids_dir -o path/to/output-qc-dir -n number-of-procs

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

cpacqc-0.1.4.tar.gz (12.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

cpacqc-0.1.4-py3-none-any.whl (13.6 kB view details)

Uploaded Python 3

File details

Details for the file cpacqc-0.1.4.tar.gz.

File metadata

  • Download URL: cpacqc-0.1.4.tar.gz
  • Upload date:
  • Size: 12.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.2

File hashes

Hashes for cpacqc-0.1.4.tar.gz
Algorithm Hash digest
SHA256 50cfd256499a443ded2bc9035a10a8e4fb1c0edd03450a98a4b5f743be2877cf
MD5 030210cf96c49420fb12db5ec7aa6ff2
BLAKE2b-256 3a61cb01d4f3755fb1b1df797c2245da5faac24259bda4ed43e9db454b706e75

See more details on using hashes here.

File details

Details for the file cpacqc-0.1.4-py3-none-any.whl.

File metadata

  • Download URL: cpacqc-0.1.4-py3-none-any.whl
  • Upload date:
  • Size: 13.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.2

File hashes

Hashes for cpacqc-0.1.4-py3-none-any.whl
Algorithm Hash digest
SHA256 b462ff5dcb6a5cdbe82cdc12f2b710b52906688589ceb042470a057f836b9243
MD5 01f3475f1bd7dfd298599ae8beafa3d4
BLAKE2b-256 d45bdddbc2ef30612bf65b7da5bfc7efbddefabcf900b8aaa34346af26538e74

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page