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Interior point algorithms: guaranteed optimality for fluence map optimization in IMRT
KTH, School of Engineering Sciences (SCI), Mathematics (Dept.), Optimization and Systems Theory.
2010 (English)In: Physics in Medicine and Biology, ISSN 0031-9155, E-ISSN 1361-6560, Vol. 55, no 18, 5467-5482 p.Article in journal (Refereed) Published
Abstract [en]

One of the most widely studied problems of the intensity-modulated radiation therapy (IMRT) treatment planning problem is the fluence map optimization (FMO) problem, the problem of determining the amount of radiation intensity, or fluence, of each beamlet in each beam. For a given set of beams, the fluences of the beamlets can drastically affect the quality of the treatment plan, and thus it is critical to obtain good fluence maps for radiation delivery. Although several approaches have been shown to yield good solutions to the FMO problem, these solutions are not guaranteed to be optimal. This shortcoming can be attributed to either optimization model complexity or properties of the algorithms used to solve the optimization model. We present a convex FMO formulation and an interior point algorithm that yields an optimal treatment plan in seconds, making it a viable option for clinical applications.

Place, publisher, year, edition, pages
2010. Vol. 55, no 18, 5467-5482 p.
National Category
Industrial Biotechnology
URN: urn:nbn:se:kth:diva-26807DOI: 10.1088/0031-9155/55/18/013ISI: 000281481500013ScopusID: 2-s2.0-78149295129OAI: diva2:375819
QC 20101209Available from: 2010-12-09 Created: 2010-11-29 Last updated: 2010-12-09Bibliographically approved

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