Superiorization of projection algorithms for linearly constrained inverse radiotherapy treatment planning.

ABSTRACT:

Objective

We apply the superiorization methodology to the constrained intensity-modulated radiation therapy (IMRT) treatment planning problem. Superiorization combines a feasibility-seeking projection algorithm with objective function reduction: The underlying projection algorithm is perturbed with gradient descent steps to steer the algorithm towards a solution with a lower objective function value compared to one obtained solely through feasibility-seeking.

Approach

Within the open-source inverse planning toolkit matRad, we implement a prototypical algorithmic framework for superiorization using the well-established Agmon, Motzkin, and Schoenberg (AMS) feasibility-seeking projection algorithm and common nonlinear dose optimization objective functions. Based on this prototy

SUBMITTER: Barkmann F 

PROVIDER: S-EPMC10685292 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature