ChameleonIQ 1.0.2

A tool for NEMA NU 2-2018 Image Quality analysis.

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.

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

Project Structure

nema-analysis-tool
├── data
├── documentation
├── src
│  ├── config
│  ├── nema_merge
│  ├── nema_quant
│  └── nema_quant_iter
└── tests

• Config: configuration files to run the tool
• Data: Data for testing and logos used for PDF reports
• Documentation: Documentation, wikis and how to install the tool
• nema_merge: scripts for creating fusing of individuals runs
• nema_quant: scripts for individuals test runs
• nema_quant_iter: scripts for a iteration based analysis

How to get Started?

Read these:

• Installation instructions
• Usage instructions
• How it works?

Additional information:

• What will change?

License

This project is licensed under the Apache Lincese 2.0 - see the LICENSE.md file for details.