• DocumentCode
    1633242
  • Title

    Bit-string optimization in a brachytherapy dosimetry problem

  • Author

    Chakraborty, U.K. ; Dastidar, D. Ghosh

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Jadavpur Univ., Calcutta, India
  • fYear
    1992
  • Firstpage
    433
  • Abstract
    A problem in radiotherapy planning is solved by applying the following search algorithms: artificial genetic search, with fixed crossover probability, with variable crossover probability, and with cut-point distribution; simulated annealing, serial and parallel; stochastic hill-climbing; next-ascent hill-climbing; and steepest-ascent hill-climbing. Given a number of points at each of which a predetermined dose of radiation is required, the problem is to optimize the settings of the radiation sources present in each of three directions (X, Y, and Z) in a three-dimensional selection device such that the sum-squared dose variation is minimized
  • Keywords
    dosimetry; radiation therapy; simulated annealing; stochastic processes; artificial genetic search; bit-string optimisation; brachytherapy dosimetry problem; cut-point distribution; fixed crossover probability; next-ascent hill-climbing; simulated annealing; steepest-ascent hill-climbing; stochastic hill-climbing; sum-squared dose variation; three-dimensional selection device; variable crossover probability; Brachytherapy; Cancer; Computational modeling; Computer science; Dosimetry; Genetics; Simulated annealing; Stochastic processes; Virtual colonoscopy; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    TENCON '92. ''Technology Enabling Tomorrow : Computers, Communications and Automation towards the 21st Century.' 1992 IEEE Region 10 International Conference.
  • Conference_Location
    Melbourne, Vic.
  • Print_ISBN
    0-7803-0849-2
  • Type

    conf

  • DOI
    10.1109/TENCON.1992.271908
  • Filename
    271908