Controlling the dose distribution with gEUD-type constraints within the convex IMRT optimization framework

Yuriy Zinchenko (zinchenmcmaster.ca)
Tim Craig (Tim.Craigrmp.uhn.on.ca)
Harald Keller (Harald.Kellerrmp.uhn.on.ca)
Michael Sharpe (Michael.Sharpermp.uhn.on.ca)
Tamas Terlaky (terlakymcmaster.ca)

Abstract: Radiation therapy is an important modality in treating various cancers. Various treatment planning and delivery technologies have emerged to support Intensity Modulated Radiation Therapy (IMRT), creating significant opportunities to advance this type of treatment. We investigate the possibility of including the dose prescription, specified by the DVH, within the convex optimization framework for inverse IMRT treatment planning. Specifically, we study the quality of approximating a given DVH with a superset of gEUD-based constraints, the so-called Generalized Moment Constraints.

Keywords: IMRT, DVH, gEUD, inverse planning, convex optimization, generalized moments, Tchebychev inequalities

Category 1: Applications -- Science and Engineering (Biomedical Applications )

Category 2: Convex and Nonsmooth Optimization (Convex Optimization )

Citation: AdvOL tech report 2007/15, McMaster University

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Entry Submitted: 11/09/2007
Entry Accepted: 11/09/2007
Entry Last Modified: 12/03/2007

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