(2015) Comparison of electromagnetic and hadronic models generated using Geant 4 with antiproton dose measured in CERN. Journal of Medical Physics. pp. 109-114. ISSN 0971-6203
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Abstract
After proposing the idea of antiproton cancer treatment in 1984 many experiments were launched to investigate different aspects of physical and radiobiological properties of antiproton, which came from its annihilation reactions. One of these experiments has been done at the European Organization for Nuclear Research known as CERN using the antiproton decelerator. The ultimate goal of this experiment was to assess the dosimetric and radiobiological properties of beams of antiprotons in order to estimate the suitability of antiprotons for radiotherapy. One difficulty on this way was the unavailability of antiproton beam in CERN for a long time, so the verification of Monte Carlo codes to simulate antiproton depth dose could be useful. Among available simulation codes, Geant4 provides acceptable flexibility and extensibility, which progressively lead to the development of novel Geant4 applications in research domains, especially modeling the biological effects of ionizing radiation at the sub-cellular scale. In this study, the depth dose corresponding to CERN antiproton beam energy by Geant4 recruiting all the standard physics lists currently available and benchmarked for other use cases were calculated. Overall, none of the standard physics lists was able to draw the antiproton percentage depth dose. Although, with some models our results were promising, the Bragg peak level remained as the point of concern for our study. It is concluded that the Bertini model with high precision neutron tracking (QGSPBERTHP) is the best to match the experimental data though it is also the slowest model to simulate events among the physics lists.
Item Type: | Article |
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Keywords: | antiproton geant4 hadronic percentage depth dose physic list therapy proton beams |
Page Range: | pp. 109-114 |
Journal or Publication Title: | Journal of Medical Physics |
Journal Index: | ISI |
Volume: | 40 |
Number: | 2 |
Identification Number: | https://doi.org/10.4103/0971-6203.158696 |
ISSN: | 0971-6203 |
Depositing User: | مهندس مهدی شریفی |
URI: | http://eprints.mui.ac.ir/id/eprint/4948 |
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