• DocumentCode
    2857451
  • Title

    Point flux PL-estimators for Monte Carlo dose calculations

  • Author

    Donskoy, Eugene N.

  • Author_Institution
    Fed. Nucl. Center, All-Russian Sci. Res. Inst. of Exp. Phys., Sarov, Russia
  • Volume
    4
  • fYear
    2000
  • fDate
    2000
  • Abstract
    At 3D dosimetry planning in radiation therapy, point flux PL-estimators are convenient for Monte Carlo dose calculations in a human body. The method of construction of PL-estimators is based on a property of local optical invariance under spatial shifts of trajectories of the Markov process related to the transport equation. It allows one to receive unbiased estimators, possessing a final variance and a property of continuity of the estimator as a function of a detecting point at each point of continuity of an estimated functional. The algorithm of dose calculation with use of PL-estimators includes the following steps: (a) construction of the main trajectory in the infinite homogeneous water medium; (b) construction of "enclosed" trajectory with smaller number of links, "close" to the main trajectory; (c) construction of a set of similar trajectories (in the case of a heterogeneous medium with various chemical structure); (d) calculation of the contribution to the dose value at each detecting point. The dose calculation time with use of the given algorithm is directly proportional to the number of detecting points
  • Keywords
    Monte Carlo methods; dosimetry; radiation therapy; 3D dosimetry planning; Markov process; Monte Carlo dose calculations; algorithm; chemical structure; continuity; detecting point; detecting points; dose calculation; enclosed trajectory; estimated functional; final variance; heterogeneous medium; human body; infinite homogeneous water medium; local optical invariance; point flux PL-estimators; radiation therapy; spatial shifts; trajectories; transport equation; unbiased estimators; Chemicals; Distributed computing; Dosimetry; Equations; Fluctuations; Humans; Markov processes; Medical treatment; Monte Carlo methods; Quantum computing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2000. Proceedings of the 22nd Annual International Conference of the IEEE
  • Conference_Location
    Chicago, IL
  • ISSN
    1094-687X
  • Print_ISBN
    0-7803-6465-1
  • Type

    conf

  • DOI
    10.1109/IEMBS.2000.901577
  • Filename
    901577