Abstract
The aim of this work is to validate an in-house tool which writes voxel phantoms input files according to EGSnrc C++ class library (egspp) for Monte Carlo simulations. This tool was developed to read a phantom binary file and write a voxel phantom input deck file according to egspp structures. For the validation of the new tool, three voxel phantoms from literature considering different levels of complexity were used. They are the DM_BRA mouse phantom, Golem anthropomorphic phantom, and Case 5 XCAT model phantom from AAPM TG 195 report. For the different cases of study, internal and external photon sources were set and the energy deposition for different source and target tissue/organs were calculated. The results showed good agreement when comparing to dose calculates obtained with other Monte Carlo codes and published in the literature. The new tool was then validated for the egspp Monte Carlo studies with voxel phantoms.
Highlights
Validation of a Monte Carlo (MC) model is performed by comparing the simulated results to experimental values as well as to previous published Monte Carlo results
The six cases presented in Task Group (TG) 195 report were performed by various investigators using four well established Monte Carlo codes: EGSnrc [2], MCNP [3], PENELOPE [4], and GEANT4 [5]
The Monte Carlo Modeling Expert Group (MCMEG) is a work group with members from different institutes around the world and it has been working with a similar goal [6]
Summary
Validation of a Monte Carlo (MC) model is performed by comparing the simulated results to experimental values as well as to previous published Monte Carlo results. In 2017, the second exercise was launched and a prostate radiotherapy treatment planning was proposed In this case, a voxelized pelvis phantom is asked to be modeled. This type of anthropomorphic computational voxel phantoms are often used in MC simulations [7,8,9,10,11,12,13] They include details about the shape, volume, mass, density and chemical composition of human body radiosensitive organs or tissues. They are suitable to simulate the radiation interaction with matter and the absorbed dose distribution through MC codes. The aim of this work is to generate different voxel phantom input files using the developed tool and validate the MC simulations with egspp
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