Mathematical formulation of energy minimization - based inverse optimization

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5 Scopus citations

Abstract

Purpose: To introduce the concept of energy minimization-based inverse optimization for external beam radiotherapy. Materials and Methods: Mathematical formulation of energy minimization-based inverse optimization is presented. This mathematical representation is compared to the most commonly used dose-volume based formulation used in inverse optimization. A simple example on digitally created phantom is demonstrated. The phantom consists of three sections: a target surrounded by high and low density regions. The target is irradiated with two beams passing through those regions. Inverse optimization with dose-volume and energy minimization-based objective functions is performed. The dosimetric properties of the two optimization results are evaluated. Results: Dose-volume histograms for all the volumes of interest used for dose optimization are compared. Energy-based optimization results in higher maximum dose to the volumes that are used as dose-limiting structures. However, the average and the integral doses delivered for the volumes outside of the target are larger with dose-volume optimization. Conclusion: Mathematical formulation of energy minimization-based inverse optimization is derived. The optimization applied on the digital phantom shows that energy minimization-based approach tends to deliver somewhat higher maximum doses compared to standard of care, realized with dose-volume based optimization. At the same time, however, the energy minimization-based optimization reduces much more significantly the average and the integral doses.

Original languageEnglish (US)
Article number181
JournalFrontiers in Oncology
Volume4 JUL
DOIs
StatePublished - Jan 1 2014

Keywords

  • Dose
  • Energy
  • Integral dose
  • Inverse optimization
  • Mass
  • Volume

ASJC Scopus subject areas

  • Oncology
  • Cancer Research

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