Efficient schemes for robust IMRT treatment planning.

Arinbjörn Olafsson; Stephen J Wright

doi:10.1088/0031-9155/51/21/016

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Efficient schemes for robust IMRT treatment planning.

Arinbjörn Olafsson·Stephen J Wright

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Abstract

We use robust optimization techniques to formulate an IMRT treatment planning problem in which the dose matrices are uncertain, due to both dose calculation errors and interfraction positional uncertainty of tumour and organs. When the uncertainty is taken into account, the original linear programming formulation becomes a second-order cone program. We describe a novel and efficient approach for solving this problem, and present results to compare the performance of our scheme with more conventional formulations that assume perfect knowledge of the dose matrix.

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Algorithms Humans Models, Statistical Monte Carlo Method Neoplasms Radiotherapy Planning, Computer-Assisted Radiotherapy, Intensity-Modulated Reproducibility of Results Software Journal Article Research Support, U.S. Gov't, Non-P.H.S.

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BibTeX RIS

Arinbjörn Olafsson, Stephen J Wright. 2006-10-16. Efficient schemes for robust IMRT treatment planning.. https://doi.org/10.1088/0031-9155%2F51%2F21%2F016

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