• DocumentCode
    1740714
  • Title

    Direct Monte Carlo calculation of absorbed dose in a moving and deforming object

  • Author

    Keller, H. ; Olivera, G. ; Mackie, T. Rock

  • Author_Institution
    Dept. of Med. Phys., Wisconsin Univ., Madison, WI, USA
  • Volume
    2
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    1501
  • Abstract
    The knowledge of accumulated dose in a specified tissue on a functional subunit´s basis is of crucial importance for the application of biological models to estimate control and complication probabilities. It is known that geometrical uncertainties of the patient´s anatomy lead to differences between the planned and delivered dose distributions. In this work, the absorbed dose in a moving and deforming object is calculated by means of a direct Monte Carlo calculation. The Monte Carlo code EGS4/BEAM was modified to incorporate temporal dynamics of the simulation geometry. Lateral one-dimensional dose distributions were studied in a moving and deforming water slab adjacent to an air interface. A linear motion and a simple deformation of the water volume were investigated. The position of the boundary of the water volume was changing as a function of particle history. The Monte Carlo code is able to directly calculate the dose in the local coordinates of the moving object. The results show that a convolution algorithm to determine the resulting dose distribution is not sufficient for highly inhomogeneous situations and if internal deformations are present
  • Keywords
    Monte Carlo methods; convolution; dosimetry; medical computing; physiological models; radiation therapy; EGS4/BEAM code; absorbed dose; accumulated dose; air interface; biological models; convolution algorithm; direct Monte Carlo calculation; geometrical uncertainties; highly inhomogeneous situations; internal deformations; lateral one-dimensional dose distributions; local coordinates; moving deforming object; simulation geometry; temporal dynamics; treatment planning; water slab; Anatomy; Biological control systems; Biological information theory; Biological system modeling; Biological tissues; Geometry; Monte Carlo methods; Slabs; Solid modeling; Uncertainty;
  • 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.2000.898027
  • Filename
    898027