Effectiveness of the Gaussian beam model in predicting SAR distributions from the lucite cone applicator

被引:8
作者
Rietveld, PJM
Lumori, MLD
Hand, JW
Prior, MV
Van der Zee, J
Van Rhoon, GC
机构
[1] Univ Rotterdam Hosp, Dr Daniel Den Hoed Canc Ctr, Dept Radiat Oncol, Sect Hyperthermia, NL-3008 AE Rotterdam, Netherlands
[2] Free Univ Brussels, Vesalius Coll, B-1050 Brussels, Belgium
[3] Free Univ Brussels, Dept Elect Engn, B-1050 Brussels, Belgium
[4] Hammersmith Hosp, Dept Imaging, Radiol Sci Unit, London W12 0HS, England
[5] Hammersmith Hosp, MRC, Cyclotron Unit, London W12 0NN, England
关键词
superficial hyperthermia; microwave antenna; Gaussian beam modelling; SAR distribution;
D O I
10.3109/02656739809018234
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
The Gaussian beam model (GBM) has been shown to be a successful tool in the development of the current sheet applicator. As a result, the effectiveness of the GEM is investigated in single and dual array applications of the lucite cone applicator (LCA). The LCA is a modified water-filled waveguide applicator with an improved effective field size (EFS > 64 cm(2), aperture 10 cm x 10 cm). The GB-source parameters were calculated from the emanating E-field of a single LCA. The SAR distribution from a single LCA was measured by E-field scanning and thermographic (TG) imaging, and compared with the GB-predicted SAR distribution. Deviations in the principal planes were found to be less than 5%. TG-measured and GB-predicted SAR distributions from three different dual LCA configurations were compared and evaluated. When water was used as intermedium between LCAs and phantom, a maximum SAR difference of 27% was calculated. In the absence of water as intermedium, this difference increased to 44%. These large deviations were only found in areas where the measured SAR distribution was disturbed due to antenna interactions. The average SAR differences with and without water as intermedium were 7% respectively 11%, indicating that the GEM can provide good qualitative information about the SAR distribution of dual LCA-arrays.
引用
收藏
页码:293 / 308
页数:16
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