Dias, JoanaRocha, HumbertoVentura, TiagoBC FerreiraLopes, Maria do Carmo2019-06-072019-06-072016http://hdl.handle.net/10400.22/13919The planning of an intensity modulated radiation therapy treatment requires the optimization of the fluence intensities. The fluence map optimization (FMO) is many times based on a nonlinear continuous programming problem, being necessary for the planner to define a priori weights and/or lower bounds that are iteratively changed within a trial-and-error procedure until an acceptable plan is reached. In this work, the authors describe an alternative approach for FMO that releases the human planner from trial-and-error procedures, contributing for the automation of the planning process.engRadiotherapy treatment planningIMRTOrgans at RiskRadiotherapy DosageRadiotherapy Planning, Computer-AssistedTomography, X-Ray ComputedFuzzy LogicFluence Map Optimizationjournal article10.1118/1.4941007