pyRTQA is a Quality Assurance (QA) tool for Radiation Therapy.
It's built using Python and Tkinter, and integrates with pylinac with a structured GUI.

• Analyze CatPhan images (503, 504, 600, 604 supported)
• Picket Fence - Single and Multiple image analysis, Starshot, Winston-Lutz QA, Field analysis, Leeds Phantom support
• FFF Profile Analysis for AERB compliance
• User-friendly GUI built with Tkinter
• EXE version available for non-Python users
• Modern light-themed interface
• Robust error handling
• Automatically creates log files to track application activity and errors

pip install -r requirements.txt
python pyRTQA_UI.py

Just follow this link https://drive.google.com/file/d/1YWexvyTdjlWMh5dmKEiKYpmtV-NbvbUI/view?usp=sharing and double-click the pyRTQAsetup.exe file for installation!

Contributions are always welcome! If you find a bug, have a feature request, or want to improve something, feel free to open an issue or submit a pull request.

1. RFA Data

   • Measure beam profiles with:
     • Field Size: 20 cm x 20 cm
     • Depth: 10 cm
     • SSD: 90 cm
   • Normalize to 100% and export to Excel with 2 sheets:
     • Inline Sheet: Inline (cm) and Dose (%) columns
     • Crossline Sheet: Crossline (cm) and Dose (%) columns
   • Include energy and depth info in the file.

2. 2D Image Data

   • Upload an EPID image (.dcm or .tiff)
   • Use a 10 cm slab phantom, SSD 90 cm
   • Enter energy and depth info

1. Place all .dcm images in a folder
2. Use valid filenames like:
   • MyWL-gantry0-coll90-couch315.dcm
   • gantry90_stuff_coll45-couch0.dcm
   • abc-couch45-gantry315-coll0.dcm
   • 01-gantry0-abcd-coll30couch10abc.dcm
   • abc-gantry30.dcm
   • coll45abc.dcm
3. Avoid invalid names like:
   • gantry=0-coll=90-couch=315.dcm
   • gan45_collimator30-table270.dcm
4. Specify the ball bearing size (in mm)

1. Upload a .dcm or .tiff file
2. Enter tolerance and action level
3. For individual leaf analysis:
   • Check "Separate Leaves"
4. For combined analysis:
   • Leave "Separate Leaves" unchecked
5. Input the expected picket gap (in mm)
   • Only needed for separate leaf mode
   • You may need to adjust for DLG & EPID effects

1. Place multiple Picket Fence .dcm images in a folder.
2. Each image is analyzed individually.
3. Summary table and individual results (image, histogram) are included in the report.
4. .dcm format is recommended for best analysis.

1. Upload a .dcm or .tiff file for analysis

1. Upload a folder of CBCT/CT .dcm images

1. Upload a high-quality image of the Leeds TOR phantom (.dcm preferred).
2. Analysis includes low and high contrast resolution tests.

pyRTQA/
├── pyRTQA_UI.py               # Main launcher script
├── gui/                       # Tkinter GUI modules
│   └── ...
├── analysis/                  # QA analysis modules (CatPhan, WL, etc.)
│   └── ...
├── logs/                      # Auto-generated log files
│   └── pyRTQA.log
├── dist/                      # Executable output from pyinstaller
│   └── pyRTQA.exe
├── requirements.txt
├── LICENSE
├── CREDITS.md
├── README.md
├── .gitignore
└── instructions.txt

• Python
• Tkinter
• pylinac

BSD Clause3 License — see LICENSE

• Database support
• User authentication
• QA report exporting

Made with ❤️ by Sambasivaselli