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Dosimetry robustness with stochastic optimization.

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.

journal_name

Phys Med Biol

journal_title

Physics in medicine and biology

authors

Nohadani O,Seco J,Martin BC,Bortfeld T

doi

10.1088/0031-9155/54/11/010

subject

Has Abstract

pub_date

2009-06-07 00:00:00

pages

3421-32

issue

11

eissn

0031-9155

issn

1361-6560

pii

S0031-9155(09)04393-0

journal_volume

54

pub_type

杂志文章

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