• DocumentCode
    2495126
  • Title

    A New Algorithm in the Application of Parameter Optimization in Radiotherapy

  • Author

    Cao Ming yong ; Chen Chaomin ; Zhou Linghong ; Tonglei

  • Author_Institution
    Southern Med. Univ., Guangzhou, China
  • fYear
    2009
  • fDate
    11-13 June 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The genetic algorithm with two populations was used to optimize IMRT beam weight and orientations with three dimensional pencil beam dose calculation model. The algorithm was implemented in Visual c#.Net. After experience and analysis, we found that modest change of the beam orientation resulted in more conformal dose distribution in target volume and larger high dose area was included. Furthermore, genetic algorithm with two populations gave such a clinically acceptable computation time. It provided a satisfactory result. So, the genetic algorithm with two populations was an effective and global optimization method because of its parallelism, robust and globalization. It provided satisfactory results when being used to optimize IMRT beam weight and orientations.
  • Keywords
    dosimetry; genetic algorithms; radiation therapy; IMRT beam weight; Visual c#.Net; conformal dose distribution; genetic algorithm; global optimization method; intensity modulated radiation therapy; parameter optimization; radiotherapy; three dimensional pencil beam dose calculation model; Arithmetic; Chaos; Decoding; Educational institutions; Encoding; Genetic algorithms; Neoplasms; Optimization methods; Parallel processing; Robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedical Engineering , 2009. ICBBE 2009. 3rd International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-2901-1
  • Electronic_ISBN
    978-1-4244-2902-8
  • Type

    conf

  • DOI
    10.1109/ICBBE.2009.5162190
  • Filename
    5162190