叠相超声换能器的数字滤波研究

Shiwei Zhou, J. Hossack
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引用次数: 3

摘要

高带宽换能器在超声成像的所有应用中都很重要。先前描述了一种堆叠的、相位的多层换能器,它将带宽扩展到多个倍频。然而,这种换能器设计的频率响应特征是多个波峰和波谷,这将导致“环形”波形。然而,数字信号处理(DSP)及其相关器件无处不在。现代超声系统将接收到的信号数字化,并结合数字滤波器。本文在MATLAB中测试了数字滤波对提高换能器频率响应的作用。在PZFlex中建立了一个有限元分析(FEA)模型来模拟换能器阵列元件。有限元分析和Matlab仿真结果表明,在换能器接收路径中匹配滤波器可以消除频谱中的“凸起”,并将-20dB脉冲长度减少约14%。在发射路径中使用反滤波器也可以改善发射信号的特性——将脉冲长度减少35%。伪逆程序用于设计具有所需长度的FIR滤波器。此外,设计参数迭代仿真表明,即使在材料特性和换能器元件尺寸发生变化时,该数字滤波技术也能有效地工作。考虑的主要参数包括:机电耦合系数(+/-10%)、介电常数(+/-10%)和换能器元件厚度(+/-5%)。结果表明,数字滤波在补偿换能器频谱响应缺陷方面发挥了重要作用。因此,利用高带宽多层换能器可以缩短脉冲长度,提高成像分辨率。该方法对补偿传统单层换能器的频谱缺陷也有一定的价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Investigation of digital filtering for stacked, phased ultrasound transducers
High bandwidth transducers are of interest in all applications of ultrasound imaging. A stacked, phased multi-layer transducer was previously described that extended the bandwidth to multiple octaves. However, the frequency response of this transducer design is characterized by multiple peaks and troughs that will result in a 'ringy' waveform. However, Digital Signal Processing (DSP) and related devices are ubiquitous. Modern ultrasound systems digitize received signals and incorporate digital filters. In this paper the utility of digital filtering for improving transducer frequency response was tested in MATLAB. A Finite Element Analysis (FEA) model was developed in PZFlex to simulate a transducer array element. Our FEA and Matlab simulation results indicate that a matched filter in transducer receive path can remove the 'bumps' in the spectrum and reduce the -20dB pulse length by approximately 14%. An inverse filter employed in the transmitting path can also improve the characteristics of the transmitted signal - reducing the pulse length by 35%. A Pseudo-inverse procedure was used to design these FIR filters with a desired length. Furthermore, a design parameter iteration simulation demonstrates that this digital filtering technique can work effectively even when there is variation in the material properties and transducer element dimensions. Major parameters considered included: electro-mechanical coupling coefficient (+/-10%), dielectric permittivity (+/-10%) and transducer element thickness (+/-5%). The results demonstrate that digital filtering can play an important role in compensating for transducer spectral response imperfections. Thus, we can obtain reduced pulse length and improved imaging resolution with high bandwidth multi-layer transducers. The approach also has value for compensating for spectral imperfections in conventional single layer transducers.
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