Metadata-Version: 2.4
Name: ChameleonIQ
Version: 2.2.0
Summary: A tool for NEMA NU 2-2018 Image Quality analysis.
Author: Edwing Ulin-Briseno
Author-email: EdAlita <eyulibri@i3m.upv.es>
License-Expression: MIT AND (Apache-2.0 OR BSD-2-Clause)
Project-URL: Documentation, https://chameleoniq.readthedocs.io/en/latest/
Project-URL: GitHub, https://github.com/EdAlita/ChameleonIQ
Project-URL: Changelog, https://github.com/EdAlita/ChameleonIQ/wiki/Changelog
Project-URL: Issues, https://github.com/EdAlita/ChameleonIQ/issues
Project-URL: Download, https://pypi.org/project/ChameleonIQ/#files
Platform: unix
Platform: linux
Platform: osx
Platform: cygwin
Platform: win32
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.11
Classifier: Development Status :: 5 - Production/Stable
Classifier: Environment :: Console
Classifier: Operating System :: OS Independent
Classifier: Intended Audience :: Healthcare Industry
Classifier: Natural Language :: English
Classifier: Topic :: Scientific/Engineering :: Medical Science Apps.
Requires-Python: >=3.11
Description-Content-Type: text/markdown
License-File: LICENSE.txt
Requires-Dist: numpy==2.2.6
Requires-Dist: scipy==1.16.0
Requires-Dist: scipy-stubs==1.16.0.2
Requires-Dist: nibabel==5.3.2
Requires-Dist: matplotlib==3.10.8
Requires-Dist: seaborn==0.13.2
Requires-Dist: pandas==2.3.1
Requires-Dist: yacs==0.1.8
Requires-Dist: opencv-python==4.12.0.88
Requires-Dist: pillow==12.1.1
Requires-Dist: reportlab==4.4.2
Requires-Dist: types-reportlab==4.4.1.20250602
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Requires-Dist: scikit-image==0.25.2
Requires-Dist: rich==14.2.0
Requires-Dist: statsmodels==0.14.5
Requires-Dist: PyQt5==5.15.11
Requires-Dist: pyqtgraph==0.14.0
Provides-Extra: dev
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Requires-Dist: flake8==7.3.0; extra == "dev"
Dynamic: license-file

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# ChameleonIQ: Nema-aware Image Quality Tool for Python

This project is a Python-based tool for the automated analysis of PET image quality based on the NEMA NU 2-2018 standard, specifically focusing on Section 7.4.1.

Please use this cite when using the sofware:

     Ulin-Briseno, E. (2026). ChameleonIQ (Version 2.1.0) [Computer software]. https://github.com/EdAlita/ChameleonIQ


## Features

*   Calculates Percent Contrast (Q_H,j), Percent Background Variability (N_j), and Accuracy of Corrections (ΔC_lung,i).
*   Utilizes 3D Regions of Interest (ROIs) based on the NEMA Body Phantom.
*   Loads nii image data with user-defined dimensions and voxel spacing.
*   Automatic postions of ROIs on given centers

## How to get Started?
Read these:
- [**Installation instructions**](https://github.com/EdAlita/ChameleonIQ/wiki/Installation)
- [**Usage instructions**](https://github.com/EdAlita/ChameleonIQ/wiki/Usage)
- [**How it works?**](https://github.com/EdAlita/ChameleonIQ/wiki/How-it-works)

Additional information:
- [**What will change?**](https://github.com/EdAlita/ChameleonIQ/wiki/Changelog)

## License
This project is licensed under the Apache Lincese 2.0 - see the [LICENSE.md](Lhttps://github.com/EdAlita/ChameleonIQ/blob/main/LICENSE.txt) file for details.

## Acknowledgements

  i3m logo

ChameleonIQ is an open-source project developed as part of my research activities at the Institute for [Institute for Instrumentation in Molecular Imaging (i3M)](https://i3m.csic.upv.es/). I gratefully acknowledge the support of the [Detectors for Molecular Imaging Laboratory (DMIL)](https://i3m.csic.upv.es/research/stim/dmil/), i3M, and the Spanish National Research Council (CSIC). The i3M is a joint research center established in 2010 by the Universitat Politècnica de València (UPV) and CSIC, located on the Vera Campus in Valencia, Spain.

[//]: # (- [Ignore label](documentation/ignore_label.md))
