• DocumentCode
    1013201
  • Title

    Monte Carlo simulation of complex radiotherapy treatments

  • Author

    Leal, Antonio ; Sánchez-doblado, Franciso ; Perucha, María ; Carrasco, Ester ; Rincón, Magnolia ; Arrans, Rafael ; Bernal, Carlos

  • Author_Institution
    Seville Univ., Spain
  • Volume
    6
  • Issue
    4
  • fYear
    2004
  • Firstpage
    60
  • Lastpage
    68
  • Abstract
    Monte Carlo simulation is an accurate way of assessing radiotherapy dose distribution in nonhomogeneous volumes, but it requires long processing times. A new distribution model simulates radiotherapy treatments and runs on a PC network, which reduces the processing time and makes for a powerful treatment-verification tool.
  • Keywords
    Monte Carlo methods; computational complexity; digital simulation; distributed algorithms; dosimetry; medical computing; radiation therapy; Monte Carlo simulation; PC network; distributed computing; distribution model; nonhomogeneous volumes; radiotherapy dose distribution; radiotherapy treatments; treatment-verification tool; Computational modeling; Computer simulation; Concurrent computing; Cryptography; Distributed computing; History; Hospitals; Parallel processing; Personal communication networks; Random number generation;
  • fLanguage
    English
  • Journal_Title
    Computing in Science & Engineering
  • Publisher
    ieee
  • ISSN
    1521-9615
  • Type

    jour

  • DOI
    10.1109/MCSE.2004.16
  • Filename
    1306947
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1013201