https://github.com/cbica/nichart
The neuro-imaging brain aging chart [niCHART] is a comprehensive solution to analyze standard structural and functional brain MRI data across studies. [niCHART] and the associated pre-processing tools implement computational morphometry, functional signal analysis, quality control, statistical harmonization, data standardization, interactive visual
Science Score: 13.0%
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○CITATION.cff file
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✓codemeta.json file
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○.zenodo.json file
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○Scientific vocabulary similarity
Low similarity (12.3%) to scientific vocabulary
Keywords
Repository
The neuro-imaging brain aging chart [niCHART] is a comprehensive solution to analyze standard structural and functional brain MRI data across studies. [niCHART] and the associated pre-processing tools implement computational morphometry, functional signal analysis, quality control, statistical harmonization, data standardization, interactive visual
Basic Info
- Host: GitHub
- Owner: CBICA
- License: other
- Language: Python
- Default Branch: main
- Homepage: https://cbica.github.io/niCHART/
- Size: 12.2 MB
Statistics
- Stars: 18
- Watchers: 3
- Forks: 8
- Open Issues: 23
- Releases: 1
Topics
Metadata Files
README.md
[niCHART] The neuro-imaging brain aging chart
| :construction: This software and documentation is under development! Check out up-to-date documentation at cbica.github.io/niCHART/ :construction: | |-----------------------------------------|
The neuro-imaging brain aging chart [niCHART] is a comprehensive solution to analyze standard structural and functional brain MRI data across studies. [niCHART] and the associated pre-processing tools implement computational morphometry, functional signal analysis, quality control, statistical harmonization, data standardization, interactive visualization, and extraction of expressive imaging signatures.
This README is intended for contributors and developers.
User documentation is available at
cbica.github.io/niCHART/.
Setup for development
Install Python version 3.8.8 or newer. The exact procedure depends on the operating system and configuration. Verify the version with
shell
python --version # should be 3.8.8 or newer
Prepare conda environment
Assuming current working directory is niCHART and containing the source code
cloned from https://github.com/CBICA/niCHART.git.
Ensure Anaconda is installed. Follow instructions for user's operating system here. After Anaconda has been installed, be sure to exit and reopen any
command line windows to use conda command
shell
conda create -n niCHART python=3.8.8
conda activate niCHART
python -m pip install --upgrade pip
Prepare environment in Linux (CUBIC)
Assuming current working directory is niCHART and containing the source code
cloned from https://github.com/CBICA/niCHART.git.
shell
python -m venv .env
.env/bin/activate
python -m pip install --upgrade pip
Prepare environment for PowerShell (Windows 10 or 11)
Assuming current working directory is niCHART and containing the source code
cloned from https://github.com/CBICA/niCHART.git.
shell
python -m venv .env
& .env/Scripts/Activate.ps1
python -m pip install --upgrade pip
Install the [niCHART] software
To install the [niCHART], install it in a virtual or conda environment. Depending on the desired version, use one of the following commands to install it.
```shell
Editable version for development after cloning https://github.com/CBICA/niCHART.git
python -m pip install -U -e . poetry install
Version from pull request (#57 in this example) for testing proposed changes
python -m pip install -U git+https://github.com/CBICA/niCHART.git@refs/pull/57/head
Main version of toolbox
python -m pip install -U git+https://github.com/CBICA/niCHART.git ```
Usage
After proper installation, the standalone graphical user interface can be launched in the terminal with:
shell
niCHART
The data file can be passed as command line argument --data_file as shown below.
shell
niCHART --data_file istaging.pkl.gz
Build executable package for Windows 10/11
We use (beeware/briefcase)[https://github.com/beeware/briefcase)] to package the software in Windows 10/11.
shell
briefcase create
briefcase update
briefcase package
The result is an installer niCHART.msi that will install the app in the
user's profile. The installation does not require administrator rights.
Disclaimer
- The software has been designed for research purposes only and has neither been reviewed nor approved for clinical use by the Food and Drug Administration (FDA) or by any other federal/state agency.
- By using niCHART, the user agrees to the following license: https://www.med.upenn.edu/cbica/software-agreement-non-commercial.html
Contact
For more information and support, please post on the Discussions section or contact CBICA Software.
Owner
- Name: Center for Biomedical Image Computing & Analytics (CBICA)
- Login: CBICA
- Kind: organization
- Email: software@cbica.upenn.edu
- Location: Philadelphia, PA
- Website: https://www.med.upenn.edu/cbica/
- Twitter: CBICAannounce
- Repositories: 21
- Profile: https://github.com/CBICA
CBICA focuses on the development and application of advanced computation techniques.
GitHub Events
Total
- Watch event: 6
- Issue comment event: 1
Last Year
- Watch event: 6
- Issue comment event: 1
Dependencies
- Pillow >=9.0.0
- PyQt5 >=5.15.4
- PyQt5_Qt5 ==5.15.2
- PyQt5_sip ==12.9.0
- Yapsy ==1.12.2
- cycler ==0.10.0
- dill ==0.3.4
- future ==0.18.2
- joblib ==1.0.1
- matplotlib >=3.4.2
- neuroHarmonize ==2.1
- nibabel ==3.2.1
- numpy >=1.21
- pandas ==1.3.4
- poetry >=1.1.13
- poetry_core >=1.0.7
- pyparsing ==2.4.7
- python_dateutil ==2.8.1
- pytz ==2021.1
- scikit_learn >=1.0.2
- scipy >=1.6.3
- seaborn ==0.11.1
- six ==1.16.0
- statsmodels ==0.13.0
- wheel >=0.37.1