• DocumentCode
    2063089
  • Title

    Evaluation of improvement probability for IMRT plans

  • Author

    Siyang Gao ; Xi Zhang ; Leyuan Shi

  • Author_Institution
    Dept. of Ind. & Syst. Eng., Univ. of Wisconsin-Madison, Madison, WI, USA
  • fYear
    2013
  • fDate
    17-20 Aug. 2013
  • Firstpage
    474
  • Lastpage
    479
  • Abstract
    In intensity-modulated radiotherapy (IMRT) planning, the planner iteratively generates treatment plans for the patient. Upon completion of a new plan, it is critical to know the improvement potential of the plan. If the current best plan is assessed to have significant improvement potential, additional time should be spent for planning. Otherwise, the planner may decide to stop the planning process. In this research, we propose a assessment method for the improvement potential based on the threshold model (TM). The probability of improvement for the current best plan is calculated to help the planner make decisions. Numerical tests were performed on three head and neck patients and the results illustrated that the probability of improvement can be a powerful decision support tool for planners.
  • Keywords
    numerical analysis; planning; probability; radiation therapy; IMRT plans improvement; TM; decision support tool; head patients; improvement potential assessment method; improvement probability; intensity-modulated radiotherapy; neck patients; numerical tests; patient treatment plans; threshold model; Maximum likelihood estimation; Neck; Numerical models; Planning; Random variables;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation Science and Engineering (CASE), 2013 IEEE International Conference on
  • Conference_Location
    Madison, WI
  • ISSN
    2161-8070
  • Type

    conf

  • DOI
    10.1109/CoASE.2013.6654023
  • Filename
    6654023