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Published on: March 11, 2021
An EPID response calculation algorithm using spatial beam characteristics of primary, head scattered and MLC
Florin Rosca1, Piotr Zygmanski
1North Shore Cancer Center, 17 Centennial Drive, Peabody, Massachusetts 01960, USA. frosca@partners.org
Medical Physics
|July 25, 2008
Summary
We developed a new algorithm to predict electronic portal imaging device (EPID) response by characterizing radiation components and multileaf collimator (MLC) properties. This method accurately models EPID output for improved radiation therapy quality assurance.
Area of Science:
- Medical Physics
- Radiation Oncology
- Imaging Science
Background:
- Accurate prediction of electronic portal imaging device (EPID) response is crucial for radiation therapy quality assurance.
- Existing methods may not fully capture the complex interactions influencing EPID signals, including primary and scattered radiation.
Purpose of the Study:
- To develop and validate an independent algorithm for predicting EPID response.
- To characterize primary and head-scatter radiation contributions and multileaf collimator (MLC) dosimetric properties.
Main Methods:
- Developed an algorithm using open beam, closed MLC, and various MLC test pattern images.
- Modeled primary radiation with a single Gaussian and head-scatter with a triple Gaussian distribution.
- Incorporated MLC transmission, dosimetric gap, scatter, leakage, and tongue-and-groove effects as model parameters.
Main Results:
- Predicted open beam images within 1% of the maximum value.
- Predicted other MLC test patterns and intensity-modulated radiation therapy (IMRT) fluences within 1.5% of the maximum value.
- The algorithm was successfully applied to a Varian aS500 EPID.
Conclusions:
- The developed algorithm accurately predicts EPID response by modeling radiation components and MLC properties.
- This method offers a robust tool for EPID calibration and quality assurance in radiation therapy.
- The algorithm is adaptable to various planar detectors with adequate spatial resolution.
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