Yuheng Wang, Junjie Lin, Yi Wu, Jingna Jin, Ren Ma, Tao Yin, Zhipeng Liu, Shunqi Zhang
{"title":"液体导体磁声电层析成像方法研究","authors":"Yuheng Wang, Junjie Lin, Yi Wu, Jingna Jin, Ren Ma, Tao Yin, Zhipeng Liu, Shunqi Zhang","doi":"10.1002/mp.18095","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Background</h3>\n \n <p>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.</p>\n </section>\n \n <section>\n \n <h3> Purpose</h3>\n \n <p>This study aims to address these issues by introducing a novel method. A gallium-based liquid conductor (Ga<sub>67</sub>In<sub>20</sub>.<sub>5</sub>Sn<sub>12</sub>.<sub>5</sub>) with high conductivity is combined with M-sequence coded excitation in MAET.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>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 <i>t</i>-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.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>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.</p>\n </section>\n \n <section>\n \n <h3> Conclusions</h3>\n \n <p>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.</p>\n </section>\n </div>","PeriodicalId":18384,"journal":{"name":"Medical physics","volume":"52 9","pages":""},"PeriodicalIF":3.2000,"publicationDate":"2025-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Method research on magneto-acoustic-electric tomography using liquid conductor\",\"authors\":\"Yuheng Wang, Junjie Lin, Yi Wu, Jingna Jin, Ren Ma, Tao Yin, Zhipeng Liu, Shunqi Zhang\",\"doi\":\"10.1002/mp.18095\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Background</h3>\\n \\n <p>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.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Purpose</h3>\\n \\n <p>This study aims to address these issues by introducing a novel method. A gallium-based liquid conductor (Ga<sub>67</sub>In<sub>20</sub>.<sub>5</sub>Sn<sub>12</sub>.<sub>5</sub>) with high conductivity is combined with M-sequence coded excitation in MAET.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Methods</h3>\\n \\n <p>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 <i>t</i>-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.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results</h3>\\n \\n <p>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. 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Method research on magneto-acoustic-electric tomography using liquid conductor
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.
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.
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