A tool for NEMA NU 2-2018 Image Quality analysis.
Project description
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
How to get Started?
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Additional information:
License
This project is licensed under the Apache Lincese 2.0 - see the LICENSE.md file for details.
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