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 3.0.2) [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:
Additional information:
License
This project is licensed under the Apache Lincese 2.0 - see the LICENSE.md file for details.
Acknowledgements
ChameleonIQ is an open-source project developed as part of my research activities at the Institute for Institute for Instrumentation in Molecular Imaging (i3M). I gratefully acknowledge the support of the Detectors for Molecular Imaging Laboratory (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.
1 maintainer
Metadata
1 maintainer
Release files for ChameleonIQ 3.0.2
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
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| chameleoniq-3.0.2.tar.gz | 298.3 kB | Without provenance | Details for chameleoniq-3.0.2.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
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| chameleoniq-3.0.2-py3-none-any.whl | Python 3 | none | any | Details for chameleoniq-3.0.2-py3-none-any.whl |
Total release size: 591.4 kB
Release files / chameleoniq-3.0.2.tar.gz
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