INtERACtIvE MuLtIOBJECtIvE OPtIMIzAtION FOR IMRt

In this paper, interactive multiobjective optimization for radiotherapy treatment planning is studied. The aim of radiotherapy is to destroy a tumor without causing damage to healthy tissue and treatment planning is used to achieve an optimal dose distribution. In intensity modulated radiotherapy (IMRT), the intensity of the incoming radiation flux can be modulated using some aperture such as a multileaf collimator. Radiotherapy goals are conflicting and it is impossible to satisfy all the targets simultaneously. Therefore, an interactive multiobjective optimization method for IMRT is used. With this method, the best compromise can be found for all the conflicting targets. Results of numerical studies indicate that in this way a radiotherapy expert, called as a decision maker, can conveniently utilize one’s knowledge and expertize and direct the solution process interactively and iteratively in order to find the best feasible radiotherapy treatment plan. This approach decreases the number of uninteresting solutions computed and the best solution can be selected in a case specific way by using the decision maker’s expertize.