• DocumentCode
    2316401
  • Title

    Hybrid optimisation technique for radiotherapy treatment planning

  • Author

    Haas, O.C.L. ; Burnham, K.J. ; Mills, J.A.

  • Author_Institution
    Control Theory & Applications Group, Coventry Polytech., UK
  • Volume
    1
  • fYear
    1998
  • fDate
    1-4 Sep 1998
  • Firstpage
    368
  • Abstract
    Presents an optimisation strategy, based on a hybrid multi-objective genetic algorithm, to automate the planning of traditional radiotherapy treatment. The optimisation algorithm is formulated around the concept of Pareto optimality to exploit a population based search procedure thereby considering each of the objectives independently. It explores the solutions belonging to the Pareto optimal set prior to concentrating on the best regions of the search space. Once the Pareto optimal set has been determined, a posteriori articulation of the objectives is used to provide the clinicians with a few alternative solutions, all of them non-dominated and therefore mathematically optimal, leaving the final decision to the clinicians
  • Keywords
    genetic algorithms; medical computing; radiation therapy; search problems; Pareto optimal set; Pareto optimality; hybrid multi-objective genetic algorithm; hybrid optimisation technique; population based search procedure; radiotherapy treatment planning; Biomedical engineering; Control theory; Genetic algorithms; Hospitals; Intensity modulation; Medical treatment; Optical modulation; Pareto optimization; Physics; Strategic planning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Applications, 1998. Proceedings of the 1998 IEEE International Conference on
  • Conference_Location
    Trieste
  • Print_ISBN
    0-7803-4104-X
  • Type

    conf

  • DOI
    10.1109/CCA.1998.728450
  • Filename
    728450