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• W2964447684 abstract "Abstract Purpose: To examine detail depth dose characteristics of ideal proton beams using the GATE Monte Carlo technique. Methods: In this study, in order to improve simulation efficiency, we used pencil beam geometry instead of parallel broad-field geometry. Depth dose distributions for beam energies from 5 to 250 MeV in a water phantom were obtained. This study used parameters named R peak , R 90 , R 80 , R 73 , R 50 , full width at half maximum (FWHM), width of 80–20% distal fall-off ( W (80–20) ) and peak-to-entrance ratio to represent Bragg peak characteristics. The obtained energy–range relationships were fitted into third-order polynomial formulae. The present study also used the GATE Monte Carlo code to calculate the stopping power of proton pencil beams in a water cubic phantom and compared results with the National Institute of Standards and Technology (NIST) standard reference database. Results: The study results revealed deeper penetration, broader FWHM and distal fall-off and decreased peak-to-entrance dose ratio with increasing beam energy. Study results for monoenergetic proton beams showed that R 73 can be a good indicator to characterise a range of incident beams. These also suggest FWHM is more sensitive than W (80–20) distal fall-off in finding initial energy spread. Furthermore, the difference between the obtained stopping power from simulation and NIST data almost in all energies was lower than 1%. Conclusion: Detail depth dose characteristics for monoenergetic proton beams within therapeutic energy ranges were reported. These results can serve as a good reference for clinical practitioners in their daily practice." @default.
• W2964447684 created "2019-08-13" @default.
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• W2964447684 date "2019-07-31" @default.
• W2964447684 modified "2023-10-02" @default.
• W2964447684 title "Bragg peak characteristics of proton beams within therapeutic energy range and the comparison of stopping power using the GATE Monte Carlo simulation and the NIST data" @default.
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• W2964447684 doi "https://doi.org/10.1017/s1460396919000554" @default.
• W2964447684 hasPublicationYear "2019" @default.
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