Paper
23 March 2010 Epp - A C++ EGSnrc user code for Monte Carlo simulation of radiation transport
Congwu Cui, Jonas Lippuner, Harry R. Ingleby, David N. M. Di Valentino, Idris A. Elbakri
Author Affiliations +
Abstract
Easy particle propagation (Epp) is a Monte Carlo simulation EGSnrc user code that we have developed for dose calculation in a voxelized volume, and to generate images of an arbitrary geometry irradiated by a particle source. The dose calculation aspect is a reimplementation of the function of DOSXYZnrc with new features added and some restrictions removed. Epp is designed for x-ray application, but can be readily extended to trace other kinds of particles. Epp is based on the EGSnrc C++ class library (egspp) which makes modeling particle sources and simulation geometries simpler than in DOSXYZnrc and other BEAM user codes based on EGSnrc code system. With Epp geometries can be modeled analytically or voxelized geometries, such as those in DOSXYZnrc, can be used. Compared to DOSXYZnrc (slightly modified from the official version for saving phase space information of photons leaving the geometry), Epp is at least two times faster. Photon propagation to the image plane is integrated into Epp (other particles possible with minor extension to the current code) with an ideal detector defined. When only the resultant images are needed, there is no need to save the particle data. This results in significant savings of data storage space, network load, and time for file I/O. Epp was validated against DOSXYZnrc for imaging and dose calculation by comparing simulation results with the same input. Epp can be used as a Monte Carlo simulation tool for faster imaging and radiation dose applications.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Congwu Cui, Jonas Lippuner, Harry R. Ingleby, David N. M. Di Valentino, and Idris A. Elbakri "Epp - A C++ EGSnrc user code for Monte Carlo simulation of radiation transport", Proc. SPIE 7622, Medical Imaging 2010: Physics of Medical Imaging, 762251 (23 March 2010); https://doi.org/10.1117/12.844419
Lens.org Logo
CITATIONS
Cited by 1 scholarly publication.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Monte Carlo methods

Photons

Particles

C++

Sensors

Computer simulations

Radiotherapy

Back to Top