Abstract:

Radiation therapy is a dominant modality in treating various cancers. IMRT, its high-precision counterpart, is a state-of-the-art tool for this type of treatment. We investigate the possibility of including the dose prescription, specified by the Dose-Volume Histogram (DVH), within the convex optimization framework for inverse IMRT treatment planning. More precisely, we study the quality of approximating a given DVH with a superset of gEUD-based constraints, the so-called Generalized Moment Constraints, and relate this to the classical problem of moments.