A moment-based approach for DVH-guided radiotherapy treatment plan optimization

M. Zarepisheh, M. Shakourifar, G. Trigila, P. S. Ghomi, S. Couzens, A. Abebe, L. Noreña, W. Shang, Steve B. Jiang, Y. Zinchenko

Research output: Contribution to journalArticlepeer-review

22 Scopus citations


The dose-volume histogram (DVH) is a clinically relevant criterion to evaluate the quality of a treatment plan. It is hence desirable to incorporate DVH constraints into treatment plan optimization for intensity modulated radiation therapy. Yet, the direct inclusion of the DVH constraints into a treatment plan optimization model typically leads to great computational difficulties due to the non-convex nature of these constraints. To overcome this critical limitation, we propose a new convex-moment-based optimization approach. Our main idea is to replace the non-convex DVH constraints by a set of convex moment constraints. In turn, the proposed approach is able to generate a Pareto-optimal plan whose DVHs are close to, or if possible even outperform, the desired DVHs. In particular, our experiment on a prostate cancer patient case demonstrates the effectiveness of this approach by employing two and three moment formulations to approximate the desired DVHs.

Original languageEnglish (US)
Pages (from-to)1869-1887
Number of pages19
JournalPhysics in medicine and biology
Issue number6
StatePublished - Mar 21 2013

ASJC Scopus subject areas

  • Radiological and Ultrasound Technology
  • Radiology Nuclear Medicine and imaging


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