Title | ||
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A chance-constrained programming framework to handle uncertainties in radiation therapy treatment planning. |
Abstract | ||
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•A new stochastic model for radiation therapy planning.•A chance-constrained optimization framework to handle setup uncertainties.•Confidence level, the plan quality (robustness and homogeneity) are optimized.•Second order cone constraint counterparts of the model are developed. |
Year | DOI | Venue |
---|---|---|
2018 | 10.1016/j.ejor.2017.10.018 | European Journal of Operational Research |
Keywords | Field | DocType |
Chance-constrained programming,Radiation treatment planning,Setup uncertainty | Mathematical optimization,Homogeneity (statistics),Radiation treatment planning,Robustness (computer science),Radiation therapy,Confidence interval,Deterministic system (philosophy),Stochastic programming,Mathematics,Software framework,Operations management | Journal |
Volume | Issue | ISSN |
266 | 2 | 0377-2217 |
Citations | PageRank | References |
2 | 0.64 | 8 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Maryam Zaghian | 1 | 2 | 0.98 |
Gino J. Lim | 2 | 115 | 16.51 |
Azin Khabazian | 3 | 2 | 0.98 |