• DocumentCode
    2191244
  • Title

    Improved Model on Minimizing Static Intensity Modulation Delivery Time

  • Author

    Jing, Jia ; Cao, Ruifen ; Wu, Yican ; Li, Guoli ; Lin, Hui ; Cheng, Mengyun ; Pei, Xi ; Kong, Weihua ; Li, Gui

  • Author_Institution
    Inst. of Plasma Phys., Chinese Acad. of Sci., Hefei, China
  • fYear
    2009
  • fDate
    17-19 Oct. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In Intensity Modulated Radiation Therapy static intensity modulation delivery, leaf sequencing is basically a process where the intensity map is broken down into subfields or segments that can be implemented by multileaf collimators. The purpose of this study was to investigate a new method to improve the Langer´s integer programming model. The method is to choose the horizontal or orthogonal leaf direction of intensity map according with Xia and Verhy´s alogrithm and invoke a new constraint to optimize multileaf collimator leaf travel distances. A comparative study of three different leaf sequencing methods, Xia and Verhey, Langer et al., and our improved model is presented. The numerical outputs reveal that model modifications can yield better results according with the three criteria: total number of monitor unit, number of segment and leaf travel distances.
  • Keywords
    collimators; iterative methods; radiation therapy; Langer integer programming model; horizontal leaf direction; intensity map; intensity modulated radiation therapy; leaf sequencing; multileaf collimator leaf travel distance; multileaf collimators; orthogonal leaf direction; static intensity modulation delivery; Biomedical applications of radiation; Collimators; Constraint optimization; Intensity modulation; Iterative algorithms; Linear programming; Matrix decomposition; Monitoring; Nuclear and plasma sciences; Physics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Engineering and Informatics, 2009. BMEI '09. 2nd International Conference on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-1-4244-4132-7
  • Electronic_ISBN
    978-1-4244-4134-1
  • Type

    conf

  • DOI
    10.1109/BMEI.2009.5305406
  • Filename
    5305406