Robust spatiotemporally integrated fractionation in radiotherapy

Ali Ajdari, Archis Ghate

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

Spatiotemporally integrated fractionation involves finding a fluence-map and a number of treatment sessions that maximize tumor-kill subject to dose-limits on organs-at-risk (OAR). This problem was recently formulated using the linear-quadratic dose-response model. Owing to the uncertainty in dose-response parameters, however, a solution presumed optimal might be infeasible in practice. We address this via a robust counterpart and its convex reformulation wherein the price of robustness is small and robust solutions are less infeasible than nominal even outside our uncertainty sets.

Original languageEnglish (US)
Pages (from-to)544-549
Number of pages6
JournalOperations Research Letters
Volume44
Issue number4
DOIs
StatePublished - Jul 1 2016
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2016 Published by Elsevier B.V.

Keywords

  • Convex optimization
  • Intensity Modulated Radiation Therapy
  • Linear programming duality

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