Trade-off bounds for the Pareto surface approximation in multi-criteria IMRT planning.

摘要: One approach to multi-criteria IMRT planning is automatically calculate a data set of Pareto-optimal plans for given problem in first phase, and then interactively explore the solution space decide on clinically best treatment plan second phase. The challenge computing ensure that all meaningful are covered as many irrelevant possible excluded keep computation times within reasonable limits. In this work, we focus approximation relevant part Pareto surface, process constitutes It two surface have small, insignificant difference one criterion significant another criterion. For such cases, only clearly superior should be included into set. To achieve during approximation, propose introduce bounds restrict relative quality between plans, so-called trade-off bounds. We show how integrate these scheme study their effects. proposed applied artificial cases clinical case paraspinal tumor. measured with respect number computed range values occurring different criteria compared. Through enforcing bounds, disregards approximation. Thereby, necessary good can significantly reduced. Thus, an effective tool reduce time.