• DocumentCode
    687256
  • Title

    Command-based interface of importance biasing technique using Geant4 for shielding applications

  • Author

    Oyama, Shinya ; Aso, Teruo ; Shimaoka, Masaki ; Amako, Katsuya ; Yoshida, Hiroyuki ; Sasaki, T.

  • Author_Institution
    Dept. of Electr. Eng., Nagaoka Univ. of Technol., Nagaoka, Japan
  • fYear
    2013
  • fDate
    Oct. 27 2013-Nov. 2 2013
  • Firstpage
    1
  • Lastpage
    2
  • Abstract
    The command-based interface of importance biasing technique has been developed using Geant4 for shielding applications. The purpose of this study is to develop a tool for calculating spatial dose distributions in radiation therapy facilities for radiation protection. The primary method of radiation control is to design physical features of shielding and barriers in radiological areas. Monte Carlo simulation can calculate the dose distributions with realistic conditions by taking into account complex geometries and materials´ combinations in the facilities. The results will be used for optimizing the design to achieve the best safety with the appropriate construction cost. In order to calculate the spatial dose distributions in acceptable accuracy in both the radiation-controlled area and the outside, the importance biasing technique is mandatory. We have developed an interface for providing on-the-fly commands to construct importance biasing geometries and scoring including error estimators with the parallel world geometry in Geant4. The improvement of efficiency was studied in a simple case for assuming shielding of gamma ray from a radioactive source. The improvement of efficiency was demonstrated by optimizing importance biasing geometries with keeping the calculation accuracy.
  • Keywords
    Monte Carlo methods; radiation protection; shielding; Geant4 code; Monte Carlo simulation; command based interface; importance biasing technique; parallel world geometry; radiation control; radiation protection; radiation therapy; shielding; spatial dose distribution; Accuracy; Educational institutions; Geometry; Materials; Monte Carlo methods; Probability; Safety;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), 2013 IEEE
  • Conference_Location
    Seoul
  • Print_ISBN
    978-1-4799-0533-1
  • Type

    conf

  • DOI
    10.1109/NSSMIC.2013.6829703
  • Filename
    6829703