TY - GEN
T1 - Evaluation of improvement probability for IMRT plans
AU - Gao, Siyang
AU - Zhang, Xi
AU - Shi, Leyuan
PY - 2013
Y1 - 2013
N2 - 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. © 2013 IEEE.
AB - 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. © 2013 IEEE.
UR - https://www.scopus.com/pages/publications/84891524432
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-84891524432&origin=recordpage
U2 - 10.1109/CoASE.2013.6654023
DO - 10.1109/CoASE.2013.6654023
M3 - RGC 32 - Refereed conference paper (with host publication)
SN - 9781479915156
SP - 474
EP - 479
BT - IEEE International Conference on Automation Science and Engineering
T2 - 2013 IEEE International Conference on Automation Science and Engineering, CASE 2013
Y2 - 17 August 2013 through 20 August 2013
ER -