Interactive multiobjective optimization for anatomy-based three-dimensional HDR brachytherapy

摘要: In this paper, we present an anatomy-based three-dimensional dose optimization approach for HDR brachytherapy using interactive multiobjective (IMOO). brachytherapy, the goals are to irradiate a tumor without causing damage healthy tissue. These often conflicting, i.e. when one target is optimized other will suffer, and solution compromise between them. IMOO capable of handling multiple strongly conflicting objectives in convenient way. With approach, treatment planner's knowledge used direct process. Thus, weaknesses widely techniques (e.g. defining weights, computational burden trial-and-error planning) can be avoided, planning times shortened number solutions calculated small. Further, plan quality improved by finding advantageous trade-offs solutions. addition, our offers easy way navigate among obtained Pareto optimal (i.e. different plans). When considering simulation model clinical 3D variables significantly smaller compared IMRT, example. solving model, CPU time relatively short. This makes it possible exploit solve problem. To demonstrate advantages IMOO, two examples optimizing gynecologic cervix cancer presented.