Design optimization of a robust sleeve antenna for hepatic microwave ablation.
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.
Prakash
Punit
P
Department of Biomedical Engineering, University of Wisconsin, Madison, WI 53706, USA. pprakash@cae.wisc.edu
Deng
Geng
G
Converse
Mark C
MC
Webster
John G
JG
Mahvi
David M
DM
Ferris
Michael C
MC
D000465:Algorithms; D001499:Bayes Theorem; D017115:Catheter Ablation / Q000295:instrumentation*; D008113:Liver Neoplasms / Q000601:surgery*; D008872:Microwaves / Q000627:therapeutic use*; D008954:Models, Biological