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Please use this identifier to cite or link to this item: http://hdl.handle.net/1807/32485

Title: Adaptive and Robust Radiation Therapy Optimization for Lung Cancer
Authors: Misic, Velibor
Advisor: Chan, Timothy
Department: Mechanical and Industrial Engineering
Keywords: robust optimization
adaptive radiation therapy
intensity-modulated radiation therapy
Issue Date: 23-Jul-2012
Abstract: A previous approach to robust intensity-modulated radiation therapy (IMRT) treatment planning for moving tumours in the lung involves solving a single planning problem before treatment and using the resulting solution in all of the subsequent treatment sessions. In this thesis, we develop two adaptive robust IMRT optimization approaches for lung cancer, which involve using information gathered in prior treatment sessions to guide the reoptimization of the treatment for the next session. The first method is based on updating an estimate of the uncertain effect, while the second is based on additionally updating the dose requirements to account for prior errors in dose. We present computational results using real patient data for both methods and an asymptotic analysis for the first method. Through these results, we show that both methods lead to improvements in the final dose distribution over the traditional robust approach, but differ greatly in their daily dose performance.
URI: http://hdl.handle.net/1807/32485
Appears in Collections:Master

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