Magneto-acousto-electrical tomography using nonlinearly frequency-modulated ultrasound

Author:

Cheng Zhizhuo,Sun Zhishen,Wang Jianfei,Jia Kebin

Abstract

Abstract Objective. In this study, nonlinearly frequency-modulated (NLFM) ultrasound was applied to magneto-acousto-electrical tomography (MAET) to increase the dynamic range of detection. Approach. Generation of NLFM signals using window function method—based on the principle of stationary phase—and piecewise linear frequency modulation method—based on the genetic algorithm—was discussed. The MAET experiment systems using spike, linearly frequency-modulated (LFM), or NLFM pulse stimulation were constructed, and three groups of MAET experiments on saline agar phantom samples were carried out to verify the performance—respectively the sensitivity, the dynamic range, and the longitudinal resolution of detection—of MAET using NLFM ultrasound in comparison to that using LFM ultrasound. Based on the above experiments, a pork sample was imaged by ultrasound imaging method, spike MAET method, LFM MAET method, and NLFM MAET method, to compare the imaging accuracy. Main results. The experiment results showed that, through sacrificing very little main-lobe width of pulse compression or equivalently the longitudinal resolution, the MAET using NLFM ultrasound achieved higher signal-to-interference ratio (and therefore higher detection sensitivity), lower side-lobe levels of pulse compression (and therefore larger dynamic range of detection), and large anti-interference capability, compared to the MAET using LFM ultrasound. Significance. The applicability of the MAET using NLFM ultrasound was proved in circumferences where sensitivity and dynamic range of detection were mostly important and slightly lower longitudinal resolution of detection was acceptable. The study furthered the scheme of using coded ultrasound excitation toward the clinical application of MAET.

Funder

Chaoyang Postdoctoral Sustentation Fund of Beijing, China

National Natural Science Foundation of China

Beijing Natural Science Foundation

Publisher

IOP Publishing

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