A linear implementation of dose-volume constraints for multi-criteria optimization

A. Schlaefer, D. Ruan, Sonja Dieterich, W. Kilby

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

Dose-volume constraints are widely used in inverse planning for radiation therapy. Given the intricate combinatorial nature of the problem, existing approaches suffer from long runtimes, insufficient approximation of the constraints, or the necessity to specify reasonable starting values a priori. This can be problematic, particularly when planning is considered as a multi-criteria optimization problem. We present a new method to handle dose-volume constraints during planning for robotic radiosurgery. Taking into account the typically very conformal nature of the resulting dose distributions, we specify the constraints on a small subset of points instead of the full volume. We show how this allows for an effective relaxation of the problem. Results for a prostate case indicate that the proposed method leads to good approximations of the dose-volume constraints and is independent of the optimization objective.

Original languageEnglish (US)
Title of host publicationIFMBE Proceedings
Pages322-325
Number of pages4
Volume25
Edition1
DOIs
StatePublished - 2009
Externally publishedYes
EventWorld Congress on Medical Physics and Biomedical Engineering: Radiation Oncology - Munich, Germany
Duration: Sep 7 2009Sep 12 2009

Other

OtherWorld Congress on Medical Physics and Biomedical Engineering: Radiation Oncology
CountryGermany
CityMunich
Period9/7/099/12/09

Keywords

  • CyberKnife
  • Dose-volume constraints
  • Optimization
  • Radiosurgery
  • Treament planning

ASJC Scopus subject areas

  • Biomedical Engineering
  • Bioengineering

Fingerprint Dive into the research topics of 'A linear implementation of dose-volume constraints for multi-criteria optimization'. Together they form a unique fingerprint.

Cite this