Title
A chance-constrained programming framework to handle uncertainties in radiation therapy treatment planning.
Abstract
•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 Zaghian120.98
Gino J. Lim211516.51
Azin Khabazian320.98