Dual-Frequency Impedance Matching Network Design Using Genetic Algorithm for Power Ultrasound Transducer

Author:

Huang Wenchang12ORCID,Li Jiaqi12,Wu Shuai12,He Yan12,Li Xiangxin12,Shen Zhitian2,Cui Yaoyao2ORCID

Affiliation:

1. School of Biomedical Engineering (Suzhou), Division of Life Sciences and Medicine, University of Science and Technology of China, Suzhou 215163, China

2. Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou 215163, China

Abstract

Dual-frequency ultrasounds have demonstrated significant potential in augmenting thermal ablation efficiency for tumor treatment. Ensuring proper impedance matching between the dual-frequency transducer and the power amplifier system is imperative for equipment safety. This paper introduces a novel dual-frequency impedance matching network utilizing L-shaped topology and employing a genetic algorithm to compute component values. Implementation involved an adjustable capacitor and inductor network to achieve dual-frequency matching. Subsequently, the acoustic parameters of the dual-frequency HIFU transducer were evaluated before and after matching, and the effects of ultrasound thermal ablation with and without matching were compared. The proposed dual-frequency impedance matching system effectively reduced the standing wave ratio at the two resonance points while enhancing transmission efficiency. Thermal ablation experiments with matching circuits showed improved temperature rise efficiencies at both frequencies, resulting in an expanded ablation zone. The dual-frequency impedance matching method significantly enhances the transmission efficiency of the dual-frequency ultrasound system at two operational frequencies, thereby ensuring equipment safety. It holds promising prospects for application in dual-frequency ultrasound treatment.

Funder

National Key Technology Research and Development Program of China

Jinan Guoke Medical Technology Development Co., Ltd.

National Natural Science Foundation of China

Natural Science Foundation of Shandong Province China

Jiangsu Funding Program for Excellent Postdoctoral Talent

Publisher

MDPI AG

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