6533b824fe1ef96bd1280d01
RESEARCH PRODUCT
PenRed: An extensible and parallel Monte-Carlo framework for radiation transport based on PENELOPE
V. Giménez GómezS. OliverV. Giménez-alventosasubject
Parallel computingPhysics - Instrumentation and DetectorsAtomic Physics (physics.atom-ph)FortranRadiation transportFOS: Physical sciencesGeneral Physics and AstronomyParallel computingcomputer.software_genre01 natural sciencesPhysics - Atomic Physics010305 fluids & plasmasElectron-photon showers0103 physical sciencesCIENCIAS DE LA COMPUTACION E INTELIGENCIA ARTIFICIAL010306 general physicsMonte Carlo simulationcomputer.programming_languageMPICHbusiness.industryInstrumentation and Detectors (physics.ins-det)Construct (python library)Computational Physics (physics.comp-ph)Modular designPhysics - Medical PhysicsShared memoryHardware and ArchitectureProgramming paradigmDistributed memoryMPIMedical Physics (physics.med-ph)CompilerMedical physicsbusinessPhysics - Computational Physicscomputerdescription
Monte Carlo methods provide detailed and accurate results for radiation transport simulations. Unfortunately, the high computational cost of these methods limits its usage in real-time applications. Moreover, existing computer codes do not provide a methodology for adapting these kind of simulations to specific problems without advanced knowledge of the corresponding code system, and this restricts their applicability. To help solve these current limitations, we present PenRed, a general-purpose, stand-alone, extensible and modular framework code based on PENELOPE for parallel Monte Carlo simulations of electron-photon transport through matter. It has been implemented in C++ programming language and takes advantage of modern object-oriented technologies. In addition, PenRed offers the capability to read and process DICOM images as well as to construct and simulate image-based voxelized geometries, so as to facilitate its usage in medical applications. Our framework has been successfully verified against the original PENELOPE Fortran code. Furthermore, the implemented parallelism has been tested showing a significant improvement in the simulation time without any loss in precision of results.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2021-10-01 |