Title :
An Optimal Sliding Choke Antenna for Hepatic Microwave Ablation
Author :
Prakash, Punit ; Converse, Mark C. ; Webster, John G. ; Mahvi, David M.
Author_Institution :
Dept. of Radiat. Oncology, Univ. of California, San Francisco, CA, USA
Abstract :
Microwave ablation (MWA) is a minimally invasive technique increasingly used for thermal therapy of liver tumors. Effective MWA requires efficient interstitial antennas that destroy tumors and a margin of healthy tissue, in situ, while minimizing damage to the rest of the organ. Previously, we presented a method for optimizing MWA antenna designs by coupling finite element method models of antennas with a real-coded, multiobjective genetic algorithm. We utilized this procedure to optimize the design of a minimally invasive choke antenna that can be used to create near-spherical ablation zones of adjustable size (radius 1-2 cm) by adjusting treatment durations and a sliding structure of the antenna. Computational results were validated with experiments in ex vivo bovine liver. The optimization procedure yielded antennas with reflection coefficients below -30 dB, which were capable of creating spherical ablation zones up to 2 cm in radius using 100 W input power at 2.45 GHz with treatment durations under 2 min.
Keywords :
biological effects of microwaves; cancer; finite element analysis; genetic algorithms; hyperthermia; liver; microwave antennas; microwave heating; surgery; tumours; finite element method model; healthy tissue margin; hepatic microwave ablation; interstitial antenna; liver tumor; minimally invasive technique; multiobjective genetic algorithm; optimal sliding choke antenna; optimizing MWA antenna design; organ damage minimization; power 100 W; radius 1 cm to 2 cm; spherical ablation zone; thermal therapy; time 2 min; treatment duration; Algorithm design and analysis; Couplings; Design optimization; Finite element methods; Inductors; Liver neoplasms; Medical treatment; Microwave antennas; Microwave theory and techniques; Minimally invasive surgery; Ablation; finite element methods (FEMs); genetic algorithms (GAs); microwave antennas; Ablation Techniques; Algorithms; Animals; Cattle; Computer Simulation; Equipment Design; Finite Element Analysis; Liver; Microwaves; Models, Biological; Reproducibility of Results;
Journal_Title :
Biomedical Engineering, IEEE Transactions on
DOI :
10.1109/TBME.2009.2025264