• DocumentCode
    3531202
  • Title

    PENELOPE Monte Carlo engine for treatment planning in radiation therapy with Very High Energy Electrons (VHEE) of 150–250 MeV

  • Author

    Moskvin, Vadim ; Salvat, Francesc ; Stewart, David K. ; DesRosiers, Colleen M.

  • Author_Institution
    Dept. of Radiat. Oncology, Indiana Univ., Indianapolis, IN, USA
  • fYear
    2010
  • fDate
    Oct. 30 2010-Nov. 6 2010
  • Firstpage
    1961
  • Lastpage
    1966
  • Abstract
    The use of electron beams with energies of 150-250 MeV, called Very High Energy Electrons (VHEE), has been proposed as a new modality for radiation therapy of cancer. VHEE modality may have potential advantages for tumor irradiation compared with conventional megavoltage photon or proton therapy. The Monte Carlo simulation of the VHEE application is currently the only available option for treatment planning for this modality. We have designed a computational engine, based on the PENELOPE general purpose Monte Carlo code, for simulation of particle transport in computed tomography (CT) voxel geometries. We have applied this engine to VHEE treatment planning for prostate and lung cancer and calculated dose distributions that have been compared to doses from conventional modalities. Our engine is applicable to VHEE as well as to conventional modalities.
  • Keywords
    Monte Carlo methods; cancer; computerised tomography; dosimetry; electron beams; radiation therapy; tumours; PENELOPE Monte Carlo engine; VHEE treatment planning; Very High Energy Electrons; computational engine; computed tomography; conventional megavoltage photon; dose distributions; electron beams; lung cancer; particle transport; prostate cancer; proton therapy; radiation therapy; tumor irradiation; voxel geometries; Computed tomography; Geometry; Laser beams; Monte Carlo methods; Particle beams; Photonics; Planning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Nuclear Science Symposium Conference Record (NSS/MIC), 2010 IEEE
  • Conference_Location
    Knoxville, TN
  • ISSN
    1095-7863
  • Print_ISBN
    978-1-4244-9106-3
  • Type

    conf

  • DOI
    10.1109/NSSMIC.2010.5874117
  • Filename
    5874117