Bi-objective optimization of catheter positions for high-dose-rate prostate brachytherapy.

ABSTRACT:

Purpose

Bi-objective simultaneous optimization of catheter positions and dwell times for high-dose-rate (HDR) prostate brachytherapy, based directly on dose-volume indices, has shown promising results. However, optimization with the state-of-the-art evolutionary algorithm MO-RV-GOMEA so far required several hours of runtime, and resulting catheter positions were not always clinically feasible. The aim of this study is to extend the optimization model and apply GPU parallelization to achieve clinically acceptable computation times. The resulting optimization procedure is compared with a previously introduced method based solely on geometric criteria, the adapted Centroidal Voronoi Tessellations (CVT) algorithm.

Methods

Bi-objective simultaneous optimization was performed with

SUBMITTER: van der Meer MC 

PROVIDER: S-EPMC7821293 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature