Estimation of the influence of radical effect in the proton beams using a combined approach with physical data and gel data

K. Haneda

doi:10.1117/12.2214690

4 April 2016 Estimation of the influence of radical effect in the proton beams using a combined approach with physical data and gel data

K. Haneda

Author Affiliations +

Proceedings Volume 9783, Medical Imaging 2016: Physics of Medical Imaging; 97835R (2016) https://doi.org/10.1117/12.2214690
Event: SPIE Medical Imaging, 2016, San Diego, California, United States

Abstract

The purpose of this study was to estimate an impact on radical effect in the proton beams using a combined approach with physical data and gel data. The study used two dosimeters: ionization chambers and polymer gel dosimeters. Polymer gel dosimeters have specific advantages when compared to other dosimeters. They can measure chemical reaction and they are at the same time a phantom that can map in three dimensions continuously and easily. First, a depth-dose curve for a 210 MeV proton beam measured using an ionization chamber and a gel dosimeter. Second, the spatial distribution of the physical dose was calculated by Monte Carlo code system PHITS: To verify of the accuracy of Monte Carlo calculation, and the calculation results were compared with experimental data of the ionization chamber. Last, to evaluate of the rate of the radical effect against the physical dose. The simulation results were compared with the measured depth-dose distribution and showed good agreement. The spatial distribution of a gel dose with threshold LET value of proton beam was calculated by the same simulation code. Then, the relative distribution of the radical effect was calculated from the physical dose and gel dose. The relative distribution of the radical effect was calculated at each depth as the quotient of relative dose obtained using physical and gel dose. The agreement between the relative distributions of the gel dosimeter and Radical effect was good at the proton beams.

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K. Haneda "Estimation of the influence of radical effect in the proton beams using a combined approach with physical data and gel data", Proc. SPIE 9783, Medical Imaging 2016: Physics of Medical Imaging, 97835R (4 April 2016); https://doi.org/10.1117/12.2214690

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KEYWORDS

Monte Carlo methods

Polymers

Ionization

Polymerization

Chemical reactions

Optical simulations

Magnetic resonance imaging

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