Multi-criteria optimization offers oncology teams an alternative to traditional optimization workflows.
Avoid iterative optimization with adjustments to functions and weights with multi-criteria optimization in RayStation. This module instead allows Pareto optimal treatment plans to be generated according to user-specified objectives and constraints.
Planners and physicians can finetune treatment plans by moving sliders in real time to find the right balance between conflicting clinical goals. The plan remains Pareto optimal with all constraints respected – no objectives can be improved without negatively impacting others. Pre-computation of all Pareto optimal plans can be fully automated, so the planner and physician can explore different solutions in a joint meeting without being interrupted by time-consuming calculations.
Deliverable sliding is supported for VMAT, DMLC, TomoTherapy and proton PBS. Plan exploration includes deliverable plans being generated with extremely narrow approximation to the navigate dose.