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Year : 2017  |  Volume : 13  |  Issue : 1  |  Page : 69-79

Tabulated square-shaped source model for linear accelerator electron beam simulation

1 Department of Clinical Oncology, Imam Hossein Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran
2 Department of Radiation Medicine Engineering, Shahid Beheshti University, Tehran, Iran
3 Department of Physics, University of Trieste, Trieste, Italy

Correspondence Address:
Ahmad Ameri
Department of Radiation Oncology, Imam Hossein Hospital, Shahid Beheshti University of Medical Sciences, Tehran
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Source of Support: None, Conflict of Interest: None

DOI: 10.4103/0973-1482.206235

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Context: Using this source model, the Monte Carlo (MC) computation becomes much faster for electron beams. Aims: The aim of this study was to present a source model that makes linear accelerator (LINAC) electron beam geometry simulation less complex. Settings and Design: In this study, a tabulated square-shaped source with transversal and axial distribution biasing and semi-Gaussian spectrum was investigated. Subjects and Methods: A low energy photon spectrum was added to the semi-Gaussian beam to correct the bremsstrahlung X-ray contamination. After running the MC code multiple times and optimizing all spectrums for four electron energies in three different medical LINACs (Elekta, Siemens, and Varian), the characteristics of a beam passing through a 10 cm × 10 cm applicator were obtained. The percentage depth dose and dose profiles at two different depths were measured and simulated. Results: The maximum difference between simulated and measured percentage of depth doses and dose profiles was 1.8% and 4%, respectively. The low energy electron and photon spectrum and the Gaussian spectrum peak energy and associated full width at half of maximum and transversal distribution weightings were obtained for each electron beam. The proposed method yielded a maximum computation time 702 times faster than a complete head simulation. Conclusions: Our study demonstrates that there was an excellent agreement between the results of our proposed model and measured data; furthermore, an optimum calculation speed was achieved because there was no need to define geometry and materials in the LINAC head.

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