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Development of Unfolding Energy Spectrum with Clinical Linear Accelerator based on Transmission Data
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 Title & Authors
Development of Unfolding Energy Spectrum with Clinical Linear Accelerator based on Transmission Data
Choi, Hyun Joon; Park, Hyo Jun; Yoo, Do Hyeon; Kim, Byoung-Chul; Yi, Chul-Young; Min, Chul Hee;
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 Abstract
Background: For the accurate dose assessment in radiation therapy, energy spectrum of the photon beam generated from the linac head is essential. The aim of this study is to develop the technique to accurately unfolding the energy spectrum with the transmission analysis method. Materials and Methods: Clinical linear accelerator and Monet Carlo method was employed to evaluate the transmission signals according to the thickness of the observer material, and then the response function of the ion chamber response was determined with the mono energy beam. Finally the energy spectrum was unfolded with HEPROW program. Elekta Synergy Flatform and Geant4 tool kits was used in this study. Results and Discussion: In the comparison between calculated and measured transmission signals using aluminum alloy as an attenuator, root mean squared error was 0.43%. In the comparison between unfolded spectrum using HEPROW program and calculated spectrum using Geant4, the difference of peak and mean energy were 0.066 and 0.03 MeV, respectively. However, for the accurate prediction of the energy spectrum, additional experiment with various type of material and improvement of the unfolding program is required. Conclusion: In this research, it is demonstrated that unfolding spectra technique could be used in megavoltage photon beam with aluminum alloy and HEPROW program.
 Keywords
Linac;Unfolding energy spectra;Transmission measurement;Monte Carlo simulation;
 Language
Korean
 Cited by
1.
An effective dose assessment technique with NORM added consumer products using skin-point source on computational human phantom, Applied Radiation and Isotopes, 2016, 118, 56  crossref(new windwow)
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