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 language | English (US) |
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Pages (from-to) | 544-549 |
Number of pages | 6 |
Journal | Operations Research Letters |
Volume | 44 |
Issue number | 4 |
DOIs | |
State | Published - Jul 1 2016 |
Externally published | Yes |
Bibliographical note
Publisher Copyright:© 2016 Published by Elsevier B.V.
Keywords
- Convex optimization
- Intensity Modulated Radiation Therapy
- Linear programming duality