• DocumentCode
    3339359
  • Title

    A dedicated processor for Monte Carlo computation in radiotherapy

  • Author

    Fanti, Viviana ; Marzeddu, Roberto ; Pili, Callisto ; Randaccio, Paolo ; Siddhanta, Sabyasachi ; Spiga, Jenny ; Szostak, Artur

  • Author_Institution
    Ist. Naz. di Fis. Nucleare (INFN), Univ. of Cagliari, Monserrato, Italy
  • fYear
    2009
  • fDate
    Oct. 24 2009-Nov. 1 2009
  • Firstpage
    1242
  • Lastpage
    1245
  • Abstract
    A dedicated processor for Monte Carlo computation in radiotherapy treatment planning on FPGA based hardware is being developed at INFN, Cagliari. When performing Monte Carlo simulations of the radiation dose delivered to the human body, the Compton interaction of a photon with an electron is simulated. A fast, pipelined, cost effective design for real time simulation of the Compton interaction had been implemented. The inputs to the system are the energy and the normalized direction vectors of the incoming photon. The energy and the direction vectors of the scattered photon and the scattered electron are calculated. The energy distribution by the scattered electron along its path in a voxel space is then calculated which can be used to construct maps of dose distribution in real time.
  • Keywords
    Compton effect; Monte Carlo methods; dosimetry; field programmable gate arrays; medical computing; radiation therapy; Compton interaction; FPGA based hardware; Monte Carlo computation; dedicated processor; energy distribution; normalized direction vectors; radiation dose; radiotherapy treatment planning; real time simulation; scattered electron; scattered photon; voxel space; Biological system modeling; Computational modeling; Electromagnetic scattering; Electrons; Field programmable gate arrays; Hardware; Humans; Monte Carlo methods; Particle scattering; Process planning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Nuclear Science Symposium Conference Record (NSS/MIC), 2009 IEEE
  • Conference_Location
    Orlando, FL
  • ISSN
    1095-7863
  • Print_ISBN
    978-1-4244-3961-4
  • Electronic_ISBN
    1095-7863
  • Type

    conf

  • DOI
    10.1109/NSSMIC.2009.5402380
  • Filename
    5402380