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Interactive Multiobjective Optimization for 3D HDR Brachytherapy Applying IND-NIMBUS

In: New Developments in Multiple Objective and Goal Programming

Author

Listed:
  • Henri Ruotsalainen

    (University of Kuopio)

  • Kaisa Miettinen
  • Jan-Erik Palmgren

Abstract

An anatomy based three-dimensional dose optimization approach for HDR brachytherapy using interactive multiobjective optimization is presented in this paper. In brachytherapy, the goals are to irradiate a tumor without causing damage to healthy tissue. These goals are often conflicting, i.e. when one target is optimized the other one will suffer, and the solution is a compromise between them. Our interactive approach is capable of handling multiple and strongly conflicting objectives in a convenient way, and thus, the weaknesses of widely used optimization techniques (e.g. defining weights, computational burden and trial-and-error planning) can be avoided. In addition, our approach offers an easy way to navigate among the obtained Pareto optimal solutions (i.e. different treatment plans), and plan quality can be improved by finding advantageous trade-offs between the solutions. To demonstrate the advantages of our interactive approach, a clinical example of seeking dwell time values of a source in a gynecologic cervix cancer treatment is presented.

Suggested Citation

  • Henri Ruotsalainen & Kaisa Miettinen & Jan-Erik Palmgren, 2010. "Interactive Multiobjective Optimization for 3D HDR Brachytherapy Applying IND-NIMBUS," Lecture Notes in Economics and Mathematical Systems, in: Dylan Jones & Mehrdad Tamiz & Jana Ries (ed.), New Developments in Multiple Objective and Goal Programming, pages 117-131, Springer.
    • Handle: RePEc:spr:lnechp:978-3-642-10354-4_8
    DOI: 10.1007/978-3-642-10354-4_8
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    Cited by:

    1. De Boeck, Liesje & Belien, Jeroen & Egyed, Wendy, 2011. "Dose optimization in HDR brachytherapy: A literature review of quantitative models," Working Papers 2011/32, Hogeschool-Universiteit Brussel, Faculteit Economie en Management.
    2. Vesa Ojalehto & Kaisa Miettinen & Timo Laukkanen, 2014. "Implementation aspects of interactive multiobjective optimization for modeling environments: the case of GAMS-NIMBUS," Computational Optimization and Applications, Springer, vol. 58(3), pages 757-779, July.
    3. Javad Koushki & Kaisa Miettinen & Majid Soleimani-damaneh, 2022. "LR-NIMBUS: an interactive algorithm for uncertain multiobjective optimization with lightly robust efficient solutions," Journal of Global Optimization, Springer, vol. 83(4), pages 843-863, August.

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