Design optimization of a robust sleeve antenna for hepatic microwave ablation

Punit Prakash*, Geng Deng, Mark C. Converse, John G. Webster, David M. Mahvi, Michael C. Ferris

*Corresponding author for this work

Research output: Contribution to journalArticle

39 Scopus citations


We describe the application of a Bayesian variable-number sample-path (VNSP) optimization algorithm to yield a robust design for a floating sleeve antenna for hepatic microwave ablation. Finite element models are used to generate the electromagnetic (EM) field and thermal distribution in liver given a particular design. Dielectric properties of the tissue are assumed to vary within ± 10% of average properties to simulate the variation among individuals. The Bayesian VNSP algorithm yields an optimal design that is a 14.3% improvement over the original design and is more robust in terms of lesion size, shape and efficiency. Moreover, the Bayesian VNSP algorithm finds an optimal solution saving 68.2% simulation of the evaluations compared to the standard sample-path optimization method.

Original languageEnglish (US)
Pages (from-to)1057-1069
Number of pages13
JournalPhysics in Medicine and Biology
Issue number4
StatePublished - Feb 18 2008


ASJC Scopus subject areas

  • Radiological and Ultrasound Technology
  • Radiology Nuclear Medicine and imaging

Cite this

Prakash, P., Deng, G., Converse, M. C., Webster, J. G., Mahvi, D. M., & Ferris, M. C. (2008). Design optimization of a robust sleeve antenna for hepatic microwave ablation. Physics in Medicine and Biology, 53(4), 1057-1069.