GGEMS (GPU Geant4-based Monte Carlo Simulations) is an advanced Monte Carlo simulation platform using the OpenCL library managing CPU and GPU architecture. GGEMS is written in C++, and can be used using python commands. The reader is assumed to have some basic knowledge of object-oriented programming using C++.

Well-validated Geant4 physic models are used in GGEMS and implemented using OpenCL.

The aim of GGEMS is to provide a fast simulation platform for imaging application and particle therapy. To favor speed of computation, GGEMS is not a very generic platform as Geant4 or GATE. For very realistic simulation with lot of information results, Geant4 and GATE are still recommended.

GGEMS features:

  • Photon particle tracking

  • Multithreaded CPU

  • GPU

  • Multi devices (GPUs+CPU) approach

  • Single or double float precision for dosimetry application

  • External X-ray source

  • Navigation in simple box volume or voxelized volume

  • Flat or curved detector for CBCT/CT application

GGEMS medical applications:

  • CT/CBCT imaging (standard, dual-energy)

  • External radiotherapy (IMRT and VMAT)

  • Portal imaging from LINAC system

In the next GGEMS releases, the aim is to implement the following applications and features:

  • Visualization

  • Positron particle tracking

  • Electron particle tracking

  • Mesh volume

  • Voxelized source

  • PET imaging

  • SPECT imaging

  • Intra-operative radiotherapy (brachytherapy and intrabeam)

  • AMD architecture validation

  • MacOS system validation