Pareto Optimal Projection Search (POPS) for Automated Radiation Therapy Treatment Planning

Abstract

A method for radiation therapy treatment planning includes: a) defining a decision variable search space by projecting an initial seed point onto a pareto front, where the pareto front and decision variable search space are defined in the same coordinate space; b) projecting search points in the decision variable search space to the pareto front using a one-dimensional search algorithm to produce projected points on the pareto front; c) updating the search points by performing a gradient-free optimization that evaluates a treatment planning scoring function at the projected points on the pareto front; and d) repeating steps (b), (c) to search within the decision variable search space until a convergence criterion is satisfied, thereby producing a pareto optimal and clinically acceptable treatment plan.

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