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Optimal applicator placement in hepatic radiofrequency ablation on the basis of rare data

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  • Tim Kröger
  • Stephan Pannier
  • Michael Kaliske
  • Inga Altrogge
  • Wolfgang Graf
  • Tobias Preusser

Abstract

In this paper, a numerical procedure to determine an optimal applicator placement for hepatic radiofrequency ablation incorporating uncertain material parameters is presented. The main focus is set on the treatment of subjective and rare data-based information. For this purpose, we employ the theory of fuzzy sets and model uncertain parameters as fuzzy quantities. While fuzzy modelling has been established in structural engineering in the recent past, it is novel in biomedical engineering. Incorporating fuzzy quantities within an optimisation task is basically innovative. In our context, fuzzy modelling allows us to determine an optimal applicator placement that maximises the therapy success under the given uncertainty conditions. The applicability of our method is demonstrated by means of an example case.

Suggested Citation

  • Tim Kröger & Stephan Pannier & Michael Kaliske & Inga Altrogge & Wolfgang Graf & Tobias Preusser, 2010. "Optimal applicator placement in hepatic radiofrequency ablation on the basis of rare data," Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis Journals, vol. 13(3), pages 431-440.
    • Handle: RePEc:taf:gcmbxx:v:13:y:2010:i:3:p:431-440
    DOI: 10.1080/10255840903317394
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    Cited by:

    1. Haase, Sabrina & Süss, Philipp & Schwientek, Jan & Teichert, Katrin & Preusser, Tobias, 2012. "Radiofrequency ablation planning: An application of semi-infinite modelling techniques," European Journal of Operational Research, Elsevier, vol. 218(3), pages 856-864.
    2. Pannier, S. & Graf, W., 2015. "Sectional global sensitivity measures," Reliability Engineering and System Safety, Elsevier, vol. 134(C), pages 110-117.

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