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Comparative Evaluation of Curve-fitting Techniques for Electronic Portal Imaging Device-based Multileaf Collimator
Vijay Kumar Mogulagani1,2, Mohan Raj Uthiran2, C H Raja Babu2
1Department of Physics, University College of Science, Osmania University, Hyderabad, Telangana, India.
Journal of Medical Physics
|July 9, 2026
Summary
Pseudo-Voigt curve fitting is the most accurate method for picket fence analysis using electronic portal imaging devices (EPIDs). This study compared various fitting methods, finding pseudo-Voigt offered the best slit width estimation.
Area of Science:
- Medical Physics
- Radiation Oncology
- Image Analysis
Background:
- Accurate measurement of radiation beam characteristics is crucial for quality assurance in radiotherapy.
- The picket fence test is a standard method for evaluating the performance of multileaf collimators (MLCs).
- Electronic Portal Imaging Devices (EPIDs) are increasingly used for in-vivo dosimetry and quality assurance.
Purpose of the Study:
- To determine the optimal curve-fitting method for picket fence analysis using EPID data.
- To compare the accuracy of different mathematical fitting approaches against film-based measurements.
Main Methods:
- A picket fence test was performed on an Elekta Synergy linear accelerator with an MLCi2.
- EPID and Gafchromic film were used to acquire data for identical picket fence plans.
- Peak coordinates, amplitude, and full width at half maximum (FWHM) were analyzed using various fitting methods (Gaussian, Lorentzian, pseudo-Voigt, manual) and compared to film.
Main Results:
- Pseudo-Voigt fitting yielded a mean FWHM of 6.29 mm, closely matching the film reference of 6.56 mm.
- Gaussian fitting and manual measurements overestimated FWHM compared to film.
- Lorentzian fitting showed the largest deviation and highest root mean square error (RMSE).
Conclusions:
- Pseudo-Voigt curve fitting provides the most accurate and consistent estimation of slit width in EPID-based picket fence analysis.
- This method is recommended for improving the reliability of MLC performance evaluation using EPIDs.
