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- W2141954934 abstract "All radiation therapy treatment planning relies on accurate dose calculation. Uncertainties in dosimetric prediction can significantly degrade an otherwise optimal plan. In this work, we introduce a robust optimization method which handles dosimetric errors and warrants for high-quality IMRT plans. Unlike other dose error estimations, we do not rely on the detailed knowledge about the sources of the uncertainty and use a generic error model based on random perturbation. This generality is sought in order to cope with a large variety of error sources. We demonstrate the method on a clinical case of lung cancer and show that our method provides plans that are more robust against dosimetric errors and are clinically acceptable. In fact, the robust plan exhibits a two-fold improved equivalent uniform dose compared to the non-robust but optimized plan. The achieved speedup will allow computationally extensive multi-criteria or beam-angle optimization approaches to warrant for dosimetrically relevant plans." @default.
- W2141954934 created "2016-06-24" @default.
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- W2141954934 date "2009-05-13" @default.
- W2141954934 modified "2023-09-24" @default.
- W2141954934 title "Dosimetry robustness with stochastic optimization" @default.
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- W2141954934 doi "https://doi.org/10.1088/0031-9155/54/11/010" @default.
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