• DocumentCode
    2626978
  • Title

    GAMOS: A Geant4-based easy and flexible framework for nuclear medicine applications

  • Author

    Arce, Pedro ; Rato, Pedro ; Cañadas, Mario ; Lagares, Juan Ignacio

  • Author_Institution
    Department of Basic Research, CIEMAT, Madrid, Spain
  • fYear
    2008
  • fDate
    19-25 Oct. 2008
  • Firstpage
    3162
  • Lastpage
    3168
  • Abstract
    The use of Monte Carlo has proved to be an essential tool in nuclear medicine, to assist in the design of new medical devices, in the development of new image reconstruction algorithms and correction techniques in PET and SPECT, for the precise determination of the dose in radiotherapy, etc. Among the several general-purpose codes, Geant4 is widely used for its modern technology, its flexibility and its wide range of applications. Nevertheless the use of Geant4 in nuclear medicine requires often a long learning-curve that implies a good knowledge of C++ and the Geant4 codes itself to write the code needed to obtain the required results. GAMOS, the Geant4-based Architecture for Medicine-Oriented Simulations, facilitates the use of Geant4 by providing a simple script language that covers almost all the needs of a nuclear medicine simulation. Its modular and flexible design, based on the use of the plug-in technology, as well as a clear documentation and detailed examples, makes easy to extend the framework to cover any extra need an expert user may have. We describe in this paper the basic components of GAMOS as well as provide a few examples of its use in PET and Radiotherapy simulations.
  • Keywords
    Biomedical imaging; Documentation; Geometry; Medical simulation; Modems; Monte Carlo methods; Nuclear medicine; Physics; Positron emission tomography; Solid modeling; Geant4; Monte Carlo; PET; nuclear medicine; plug-in technology; radiotherapy; scripting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Nuclear Science Symposium Conference Record, 2008. NSS '08. IEEE
  • Conference_Location
    Dresden, Germany
  • ISSN
    1095-7863
  • Print_ISBN
    978-1-4244-2714-7
  • Electronic_ISBN
    1095-7863
  • Type

    conf

  • DOI
    10.1109/NSSMIC.2008.4775023
  • Filename
    4775023