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Monte Carlo Simulation of Siemens ONCOR Linear Accelerator with BEAMnrc and DOSXYZnrc Code
Keyvan Jabbari1, Hossein Saberi Anvar1, Mohammad Bagher Tavakoli1
1Department of Medical Physics and Engineering, School of Medicine, Medical Image & Signal Processing Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.
Journal of Medical Signals and Sensors
|March 28, 2014
Summary
Monte Carlo simulations accurately modeled the Siemens ONCOR linear accelerator (linac) for radiation therapy. Validation showed high agreement with measurements, ensuring reliable data for treatment planning and advanced techniques.
Area of Science:
- Medical Physics
- Radiation Oncology
- Computational Dosimetry
Background:
- Linear accelerators (linacs) are essential in radiation therapy.
- Accurate simulation of linac output is critical for patient safety and effective treatment.
- Monte Carlo methods offer high precision for simulating radiation therapy equipment.
Purpose of the Study:
- To perform Monte Carlo modeling of the Siemens ONCOR linear accelerator.
- To validate simulation results with experimental measurements.
- To assess the accuracy of Monte Carlo simulations for clinical applications.
Main Methods:
- Utilized BEAMnrc for head simulation and DOSXYZnrc for dose calculation.
- Validated simulations using ionization chamber and EDR2 film measurements in solid water.
- Analyzed simulation data with a custom MATLAB program.
Main Results:
- Monte Carlo modeling achieved high agreement with measurements (within 1-2%) for 6 MV and 18 MV beams.
- Excellent agreement was observed, even in the build-up region, for the 6 MV beam.
- Small mean differences indicate the accuracy of the simulation for both energies.
Conclusions:
- Monte Carlo simulations provide highly accurate data for the Siemens ONCOR linac.
- Validated simulations can be reliably used for patient dose calculations.
- The methodology is suitable for modeling small field sizes used in techniques like intensity-modulated radiation therapy.

