Automatic Adaptive Inverse Planning Optimization for H&N Cancer Radiotherapy

An iterative method was developed for the adaptive inverse planning automation. The expected treatment dose in organs of interest constructed using the previous and on going treatment plans, and daily CBCT images was utilized to setup an initial criteria for each organ in the objective function. Following the initial inverse planning optimization, the achieved objective value was used to modify the previous criteria in the objective with respect to a pre-determined formulation, and then a new inverse planning optimization was repeated accordingly. The iteration was stopped if there was no clear improvement in the objective. Figure 1 shows the flow chart for the automatic plan algorithm.