• DocumentCode
    2394630
  • Title

    optimization radiation therapy planning using genetic algorithms

  • Author

    Edirisinghe, C.D. ; Acharya, R.S. ; Sibata, C.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., State Univ. of New York, Buffalo, NY, USA
  • fYear
    1994
  • fDate
    1994
  • Firstpage
    1384
  • Abstract
    The authors describe the use of a genetic algorithm to optimize parameters such as beam widths, weights and angles in radiation therapy treatment planning. The desired optimization goal involves minimizing the normal tissue dose and giving the target volume at least the minimum dose required while not exceeding a given amount are considered the goals in optimizing
  • Keywords
    radiation therapy; beam weight; beam width; normal tissue dose minimization; optimization goals; parameters optimization; radiation beam angle; radiation therapy planning optimization; radiotherapy dosimetry; target volume dose; Biomedical applications of radiation; Biomedical computing; Biomedical engineering; Biomedical imaging; Genetic algorithms; Gravity; Human factors; Neoplasms; Radio control; Shape control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 1994. Engineering Advances: New Opportunities for Biomedical Engineers. Proceedings of the 16th Annual International Conference of the IEEE
  • Conference_Location
    Baltimore, MD
  • Print_ISBN
    0-7803-2050-6
  • Type

    conf

  • DOI
    10.1109/IEMBS.1994.415484
  • Filename
    415484