Method research on magneto-acoustic-electric tomography using liquid conductor

IF 3.2 2区医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

Medical physics Pub Date : 2025-09-12 DOI:10.1002/mp.18095

Yuheng Wang, Junjie Lin, Yi Wu, Jingna Jin, Ren Ma, Tao Yin, Zhipeng Liu, Shunqi Zhang

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引用次数: 0

Abstract

Background

Magneto-acoustic-electric tomography (MAET) has the potential for noninvasive imaging of tissue electrical properties, which is valuable for early tumor detection and detection of electric current within tissues. However, it is plagued by challenges like low signal-to-noise ratio (SNR) and long imaging time, restricting its practical applications.

Purpose

This study aims to address these issues by introducing a novel method. A gallium-based liquid conductor (Ga₆₇In₂₀.₅Sn₁₂.₅) with high conductivity is combined with M-sequence coded excitation in MAET.

Methods

The performance of Barker code and M-sequence in improving MAET SNR was compared and analyzed through simulation. To validate the simulation results of coded excitation and compare and analyze electrode placement methods in actual complex scenarios, a gel–liquid conductor model was prepared. Paired t-test was used to analyze the difference in SNR. The experiment used a 0.3T magnetic field and an 80 mm focused ultrasound transducer, and the signal was compressed through matched filtering, followed by signal reconstruction in B-scan mode. Finally, 31bit M-sequence was used to reconstruct liquid conductor MAET images of mice in vivo.

Results

Simulation results show that the M-sequence offers better SNR enhancement compared to Barker code, especially with longer bit lengths. Experimentally, the 31bit M-sequence excitation increases the peak SNR (PSNR) by approximately 13 dB compared to single-pulse excitation, significantly better than that of 13bit Barker code. It also maintains a stable 1 MHz central frequency across different conductor thicknesses and coding bit. In complex geometries, M-sequence shows clearer boundaries than 13bit Barker code in electrode placement studies. Moreover, in vivo imaging successfully visualizes the liquid conductor in mouse tissues without adverse effects.

Conclusions

This research presents an effective MAET framework. By using the combination of a liquid conductor and M-sequence coded excitation, it enhances the SNR, speeds up imaging, and improves the reconstruction quality, providing a foundational basis for clinical translation.

Abstract Image

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液体导体磁声电层析成像方法研究

磁声电断层扫描（MAET）具有对组织电特性进行无创成像的潜力，这对于早期肿瘤检测和组织内电流检测具有重要价值。但是，由于信噪比低、成像时间长等问题，制约了其实际应用。本研究旨在通过引入一种新颖的方法来解决这些问题。采用高导电性的镓基液体导体（Ga67In20.5Sn12.5）与m序列编码激励相结合的MAET。方法通过仿真比较分析巴克码和m序列在提高MAET信噪比方面的性能。为了验证编码激励的仿真结果，对比分析实际复杂场景下电极放置方法，建立了凝胶-液体导体模型。采用配对t检验分析信噪比差异。实验采用0.3T磁场和80 mm聚焦超声换能器，对信号进行匹配滤波压缩，然后在b扫描模式下进行信号重构。最后，利用31bit m序列重建小鼠体内液体导体MAET图像。结果仿真结果表明，与巴克码相比，m序列具有更好的信噪比增强效果，特别是在比特长度较长的情况下。实验结果表明，与单脉冲激励相比，31bit m序列激励使峰值信噪比（PSNR）提高了约13 dB，显著优于13bit巴克码。它还在不同导体厚度和编码位之间保持稳定的1 MHz中心频率。在复杂的几何形状中，m序列在电极放置研究中比13bit巴克码显示出更清晰的边界。此外，体内成像成功地可视化了小鼠组织中的液体导体而没有不良反应。本研究提出了一个有效的MAET框架。通过液体导体与m序列编码激励的结合，提高了信噪比，加快了成像速度，提高了重建质量，为临床转译提供了基础依据。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Medical physics 医学-核医学

CiteScore

6.80

自引率

15.80%

发文量

660

审稿时长

1.7 months

期刊介绍： Medical Physics publishes original, high impact physics, imaging science, and engineering research that advances patient diagnosis and therapy through contributions in 1) Basic science developments with high potential for clinical translation 2) Clinical applications of cutting edge engineering and physics innovations 3) Broadly applicable and innovative clinical physics developments Medical Physics is a journal of global scope and reach. By publishing in Medical Physics your research will reach an international, multidisciplinary audience including practicing medical physicists as well as physics- and engineering based translational scientists. We work closely with authors of promising articles to improve their quality.