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Dosimetry robustness with stochastic optimization
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DOI：10.1088/0031-9155/54/11/010.png)
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摘要
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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 extensivemulti-criteria or beam-angle optimization approaches to warrant for dosimetrically relevant plans.
Keyword:
INTENSITY-MODULATED RADIOTHERAPY
IMRT OPTIMIZATION
MONTE-CARLO
THERAPY
MOTION
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期刊
IF:
3.4
论文数:
1.4W
被引数:
3.1W
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引用论文
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