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Evaluation of QA software system analysis for the static picket fence test
Julien Boudet1, Léone Aubignac1, Amandine Beneux2
1Department of Physics, Centre Georges François Leclerc, Dijon, France.
Journal of Applied Clinical Medical Physics
|May 16, 2022
Summary
This study evaluates three Multileaf Collimator (MLC) analysis platforms for the picket fence (PF) test in radiotherapy. Results show good performance for position error quantification, but highlight variations due to imaging systems and analysis methods.
Area of Science:
- Medical Physics
- Radiotherapy Technology
- Radiation Oncology
Background:
- Intensity modulated radiotherapy (IMRT) relies on precise Multileaf Collimator (MLC) function.
- The picket fence (PF) test is crucial for verifying MLC performance in IMRT delivery.
- Standardized evaluation of PF test analysis software is needed across institutions.
Purpose of the Study:
- To compare and evaluate three distinct analysis platforms for the PF test.
- To assess the performance of these platforms using data from two linear accelerators (Linacs) with different MLCs.
- To investigate the impact of imaging system variations on PF test results.
Main Methods:
- Generated 110 DICOM-RT images with introduced MLC position/width errors and EPID deviations.
- Analyzed these images using three different PF test software systems.
- Compared software performance in quantifying MLC errors and detecting imaging system influences.
Main Results:
- All evaluated software demonstrated good performance in quantifying MLC position errors.
- Leaf pair identification errors occurred with certain analysis methods.
- Slit width measurement showed sensitivity but also quantification challenges across platforms.
- Imaging system variations significantly influenced PF test results.
Conclusions:
- Analysis platforms perform well for MLC position error quantification, but leaf identification may vary.
- Slit width analysis requires further refinement across different software.
- Imaging system consistency is critical for accurate PF test interpretation.
- Optimizing software settings based on institutional needs and treatment modalities is recommended.
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