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Monte Carlo Calculated Stopping-Power of EBT3 and EBT-XD Film for Pristine Proton Beams


C Shi

C Shi1*, C Chen2 , D Mah2 , M Chan1 , (1) Memorial Sloan Kettering Cancer Center, Basking Ridge, NJ, (2) ProCure NJ, Somerset, New Jersey

Presentations

SU-I-GPD-T-147 (Sunday, July 30, 2017) 3:00 PM - 6:00 PM Room: Exhibit Hall


Purpose: To calculate the stopping power of EBT3 and EBT-XD films for the proton energies of 50 to 400 MeV.

Methods: Two film types, EBT3 and EBT-XD, were simulated using Monte Carlo methods. The active layers were selected as the medium for the simulation. Two independent models of Monte Carlo methods were used: MCNPX and SRIM. MCNPX is a well-known Monte Carlo method for tracking nearly all particles at nearly all energies. SRIM (Stopping and Range of Ions in Matter) is a collection of software packages that calculate many features of the transport of ions in matter using the binary collision approximation. The results of the simulation were compared and benchmarked with each other. The water, EBT3, and EBT-XD medium were used for the simulation. Experiments using the EBT3 and EBT-XD films were also performed to derive the proton ranges. With the published stopping power data of water from the ICRU 49 report, the stopping power of EBT3 and EBT-XD films were mathematically derived by Sm = (tw * Sw * ρw) / (tm * ρm). In addition, the simulated ranges are validated with the water tank measurements with the PTW Bragg Peak Ion Chamber.

Results: A full set of stopping power of EBT3 and EBT-XD films were derived for the proton range of 50 to 400 MeV. The proton ranges based on film measurements for the proton energies of 100, 125, 150, 175, 200, 225 MeV were compared with the Monte Carlo simulated results and the differences were average 0.6% and 2.7% for EBT3 and EBT-XD films, respectively.

Conclusion: Stopping power for EBT3 and EBT-XD films were derived based on Monte Carlo simulated results for the proton ranges of 50 to 400 MeV. The simulation results are in good agreement with the experimental data.


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