Fully automated noncoplanar radiation therapy treatment planning

Noncoplanar radiation therapy treatment planning has the potential to improve dosimetric quality as compared traditional coplanar techniques. Likewise, automated algorithms can reduce a planner's active time and remove inter-planner variability. To address limitations of planning, we have been developing suite called station parameter optimized (SPORT). Within SPORT algorithms, propose method NC-POPS produce noncoplanar (NC) plans using fully Pareto Optimal Projection Search (POPS) algorithm. Our algorithm extends original POPS setting with applications both IMRT VMAT. The proposed consists two main parts: 1) beam angle optimization (BAO) 2) inverse We evaluate performance by comparing between various configurations. plan quality, compute homogeneity index (HI), conformity (CI), dose-volume histogram (DVH) statistics for organs-at-risk (OARs). As evaluated baseline methods, achieves significantly better OAR sparing, comparable or dose conformity, similar homogeneity. provides modular approach cases substantially workflow quality.