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An exact method for minimizing the total treatment time in intensity-modulated radiotherapy

Author

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  • L R Mason

    (Deakin University, Burwood, Australia)

  • V H Mak-Hau

    (Deakin University, Burwood, Australia)

  • A T Ernst

    (CSIRO Mathematics, Informatics and Statistics, Clayton, Australia)

Abstract

In this paper, we solve a combinatorial optimization problem that arises from the treatment planning of a type of radiotherapy where intensity is modulated by multileaf collimators (MLC) in a step-and-shoot manner. In Ernst et al [INFORMS Journal on Computing 21 (4) (2009): 562–574], we proposed an exact method for minimizing the number of MLC apertures needed for a treatment. Our method outperformed the fastest algorithms available at the time. We refer to our method as the CPI method. We now attempt to minimize the total treatment time by modifying our CPI method. This modification involves non-trivial work, as some of the search space elimination schemes used in the CPI method cannot be applied in here. In our numerical experiments, we again compare our new method with the fastest algorithms currently available. There has been significant recent research in this area; hence we compare our method with those published in Wake et al [Computers and Operations Research 36 (2009): 795–810], Taşkin et al [Operations Research 58 (3) (2010): 674–690] and Cambazard et al [CPAIRO (2010): 1–16]. The numerical comparisons indicate that our method generally outperformed the first two, while being competitive with the third.

Suggested Citation

  • L R Mason & V H Mak-Hau & A T Ernst, 2012. "An exact method for minimizing the total treatment time in intensity-modulated radiotherapy," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 63(10), pages 1447-1456, October.
  • Handle: RePEc:pal:jorsoc:v:63:y:2012:i:10:p:1447-1456
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    Cited by:

    1. Luke Mason & Vicky Mak-Hau & Andreas Ernst, 2015. "A parallel optimisation approach for the realisation problem in intensity modulated radiotherapy treatment planning," Computational Optimization and Applications, Springer, vol. 60(2), pages 441-477, March.
    2. Dursun, Pınar & Taşkın, Z. Caner & Altınel, İ. Kuban, 2019. "The determination of optimal treatment plans for Volumetric Modulated Arc Therapy (VMAT)," European Journal of Operational Research, Elsevier, vol. 272(1), pages 372-388.

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