ChameleonIQ is an open-source Python library and CLI tool that implements the NEMA NU 2-2018 standard for evaluating image quality in nuclear medicine. It enables researchers and clinicians to analyze PET and SPECT scans for metrics such as contrast, resolution, and noise. The package is available on PyPI with an MIT/Apache license and is hosted on GitHub.
ChameleonIQ sits in PulseGate's Data science & ML workbench category. It focuses on performing standardized NEMA NU 2-2018 image quality analysis on PET/SPECT scans. It is built as an open-source project for medical imaging researchers. ChameleonIQ is open source under the Apache-2.0 license. ChameleonIQ is available on the web, the command line, and API.
Behind ChameleonIQ is EdAlita, and it first shipped in 2025. The project is developed in the open on GitHub with 36 commits in the last 90 days. Key capabilities include Image Quality Analysis, NEMA NU 2-2018, and Medical Imaging.
Summary written by a language model from the project’s public pages.
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