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
Link To Document :
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