A FLUKA Monte Carlo Computational Model of a Scanning Proton Beam Therapy Nozzle at IU Proton Therapy Center
V Moskvin1,2*, C Cheng1,3, V Anferov4, D Nichiporov2, Q Zhao3, M Takashina5, R Parola6, I Das1,3, (1) Department of Radiation Oncology, Indiana University- School of Medicine, Indianapolis, IN, (2) Cyclotron Operations, IU Health Protons Therapy Center, Bloomington, IN (3) Indiana University Health Proton Therapy Center, Bloomington, IN, (4) ProCure, Bloomington, IN, (5) Department of Medical Physics & Engineering, Osaka University, Osaka, Japan (6) John H. Stroger Jr. Hospital of Cook County, Chicago, ILSU-E-T-491 Sunday 3:00:00 PM - 6:00:00 PM Room: Exhibit Hall
Purpose: Charged particle therapy, especially proton therapy is a growing treatment modality worldwide. Monte Carlo (MC) simulation of the interactions of proton beam with equipment, devices and patient is a highly efficient tool that can substitute measurements for complex and unrealistic experiments. The purpose of this study is to design a MC model of a treatment nozzle to characterize the proton scanning beam and commissioning the model for the Indiana University Health Proton Therapy Center (IUHPTC.
Methods: The general purpose Monte Carlo code FLUKA was used for simulation of the proton beam passage through the elements of the treatment nozzle design. The geometry of the nozzle was extracted from the design blueprints. The initial parameters for beam simulation were determined from calculations of beam optics design to derive a semi-empirical model to describe the initial parameters of the beam entering the nozzle. The lateral fluence and energy distribution of the beam entering the nozzle is defined as a function of the requested range. The uniform scanning model at the IUHPTC is implemented. The results of simulation with the beam and nozzle model are compared and verified with measurements.
Results: The lateral particle distribution and energy spectra of the proton beam entering the nozzle were compared with measurements in the interval of energies from 70 MeV to 204.8 MeV. The accuracy of the description of the proton beam by MC simulation is better than 2% compared with measurements, providing confidence for complex simulation in phantom and patient dosimetry with the MC simulated nozzle and the uniform scanning proton beam.
Conclusions: The treatment nozzle and beam model was accurately implemented in the FLUKA Monte Carlo code and suitable for the research purpose to simulate the scanning beam at IUHPTC.