IMRT Beam Angle Optimization Using Dynamically Dimensioned Search
In Intensity Modulated Radiation Therapy (IMRT), the selection of appropriate radiation incidence directions is one of the determinants of proper tumor coverage and sparing of healthy tissues. Nevertheless, most of the times, the incidence directions used in clinical practice are equidistant or determined by a trial and error procedure that is very time consuming and does not guarantee the best possible treatment plan. This paper presents some preliminary results considering the application of DDS (Dynamically Dimensioned Search) algorithm to the problem of Beam Angle Optimization (BAO) for IMRT treatment planning. BAO is a problem known by having many local minima. DDS is a derivative-free optimization algorithm, and presents the capability of not getting trapped in these local minima as happens with, for instance, gradient descent based algorithms. In this paper we will briefly describe the problem, the algorithm, and present computational results for clinical cases of head and neck tumors.
KeywordsRadiotherapy IMRT Beam Angle Optimization DDS
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