Performance improvement of magneto-acousto-electrical tomography for biological tissues with sinusoid-Barker coded excitation

Yu, Zhengfeng; Yan, Zhou; Li, Yuzhi; Ma, Qingyu; Guo, Gepu; Tu, Juan; Zhang, Dong

doi:10.1088/1674-1056/27/9/094302

Cited by 17 publications

(14 citation statements)

References 39 publications

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“…In this study, a method of separating the EMI signals was proposed and the improved detection system yielded a clear MAE signal and was proved to be effective and accurate for detecting the conductivity variation. However, instead of a complex excitation signal such as a high-excitation voltage signal with a narrow pulse, sinusoid-Barker-coded signal [29], and chirp pulse signal [21], [30] a simple sinusoidal excitation signal was used as the signal source. Therefore, a complex excitation signal and more effective digital signal processing approaches need to be investigated.…”

Section: Discussionmentioning

confidence: 99%

“…Li et al [19] employed a high-voltage stimulation signal with a narrow pulse to activate an ultrasound transducer and imaged a low-conductivity animal gelatin phantom by a pair of electrodes, illustrated that the conductivity variation interface could be measured accurately. Yu et al [29] designed an experimental set-up of the MAET measurement with a sinusoid-Barker-coded excitation and obtained clear MAE signals of a three-layered gel phantom. In [22] and [30], the low-instantaneous peak power of an ultrasonic transducer was used by combining the coherent frequency demodulation method and a linear frequency modulated ultrasound pulse.…”

Section: Introductionmentioning

confidence: 99%

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A B-Scan Imaging Method of Conductivity Variation Detection for Magneto–Acousto– Electrical Tomography

et al. 2019

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Based on the Hall effect, a magneto-acousto-electrical tomography (MAET) has been indicated to have a good ability for distinguishing the conductivity variations along the acoustic propagation direction, and B-scan imaging of the MAET is expected to obtain pathological information of the tissue. For achieving a clear B-scan image, in this paper, we designed and implemented a MAET system with a planar transducer and conducted a series of experiments to explore the characteristics of the magneto-acoustic-electrical (MAE) signal and electromagnetic interference (EMI) signal. The influence of the EMI signal on the MAE voltage signal was demonstrated experimentally, and the generation mechanism of the EMI signal was explained. Concurrently, several effective methods were proposed for reducing the EMI signal and improving the imaging resolution of the B-scan image. Additionally, for obtaining a B-scan image with high resolution, the detection front end was redesigned and algorithms applying the characteristics of the MAE signal were proposed. The accuracy, feasibility, and effectiveness of the improved methods were verified. Finally, a B-scan image was reconstructed with the relative amplitude of the conductivity. The results showed that: 1) the MAE signal obtained by the redesigned platform could be well separated from the EMI signal and had a higher SNR than that obtained by the previous detection system; 2) the proposed imaging algorithms had a high detection accuracy and achieved an axis resolution of 1 mm on the z-axis; and 3) the interfaces of the conductivity changes of homogeneous phantoms with 0.5% salinity were clearly presented by measuring the MAE wave packets, and the measured thicknesses of the phantoms were highly consistent with the actual thicknesses. This paper provides a theoretical and experimental basis for detecting the interface positions of conductivity variation, and the presented MAET technology is expected to become an alternative medical imaging modality for the early diagnosis and detection of biological cancerous tissues. INDEX TERMS Conductivity distribution, Hilbert transform, electromagnetic interference, weak signal processing and detection, magneto-acousto-electrical voltage.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A B-Scan Imaging Method of Conductivity Variation Detection for Magneto–Acousto– Electrical Tomography

et al. 2019

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“…A noninvasive method of treatment-efficacy evaluation for HIFU ablation using the MAET was theoretically studied by Zhou et al The relevant model was established to prove the feasibility of real-time evaluation of HIFU treatment effect by the MAET [16]. Yu et al used sine-Barker coded excitation and obtained clear MAET signals from triple-layer animal gel simulations [17]. Li et al simulated a biological tissue model and reconstructed the electrical characteristics, reflecting the physiological or pathological state.…”

Section: Introductionmentioning

confidence: 99%

“…All of the above MAET research references are aimed at gel phantoms of low salinity solid [17][18][19][20] or from animal tissue samples [12,18,19]. No relevant research has been carried out on lung tissue that is porous and contains air.…”

Section: Introductionmentioning

confidence: 99%

Research on Pneumothorax Detection Based on Magneto-Acousto-Electrical Tomography

Li¹,

Li²,

Liu³

2021

PIER M

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Pneumothorax can cause chest tightness, chest pain, and respiratory failure, which can be life-threatening in severe cases. Therefore, early diagnosis and treatment of pneumothorax are crucial. Magneto-Acousto-Electrical Tomography (MAET) is an imaging technique in which ultrasound and electromagnetism are mutually coupled. It has the advantages of high spatial resolution and high image contrast. In this paper, we use MAET to study porous and air-containing lung tissue. We first simulate the characteristics of the MAET signal as the degree of pneumothorax increases. The relationship between the size of the ultrasonic probe and the size of the pneumothorax was discussed. The simulation results show that the reflection and attenuation values of the MAET voltage signals increase as the pneumothorax size gradually increases, regardless of whether the ultrasound transducer size is larger or smaller than the pneumothorax size. Finally, the MAET experimental platform was built to validate the simulation results of MAET signals. The results of the experiment and simulation are consistent with each other. The research of this paper has a certain reference value for the detection of pneumothorax using MAET.

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“…The relationship among the acoustic pressure of the probe, electrical potential, and electrical property inside the target sample was investigated by Xu et al [19,20]. An MAET detection apparatus using sinusoid-Barker-coded excitation was designed, and clear MAE signals of a 3-layered animal gel imitation were derived by Yu et al [21]. The MAE signal could distinguish conductivity variations along the ultrasonic beam direction, which was discovered by Ma et al [3].…”

Section: Introductionmentioning

confidence: 99%

Research on Factors Affecting the Imaging Resolution of Magneto–Acousto–Electrical Tomography

Dai

Sun

et al. 2020

IEEE Access

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As the conductivities of healthy tissue and cancerous tissue are different, methods for detecting conductivity variations of biological tissue are potential medical imaging modalities for early diagnosis of cancer in the future. Magneto-acousto-electrical tomography (MAET) is a noninvasive and hybrid conductivity imaging technology that integrates the advantage of high contrast. It has been demonstrated to have an excellent capability to distinguish conductivity variations along the direction of acoustic propagation and extremely promising as an alternative medical imaging technology for early detection of cancer. However, the existing MAET has a low resolution, and the factors affecting the imaging resolution of MAET are rarely studied systematically. Therefore, we firstly designed an MAET detection system and performed several verification experiments. A B-scan algorithm was then proposed for enhancing the system resolution. Subsequently, two uniform phantoms with different intermediate gaps in the middle and a B-mode imaging experiment on pork tissue were used for testing the performance of detection resolution. Finally, comparative analyses were performed to verify whether the frequency, the cycle number of the excitation signal, and the B-scan algorithm can influence the detection resolution. We obtained the following results: 1) The longitudinal resolution of the conductivity B-scan image increases as the number of cycle excitation decreases. 2) Vertical resolution using a 2.5 MHz probe excitation is significantly better than using a 500 kHz probe excitation. 3) The B-scan algorithm can improve conductivity resolution, and it reveals that our proposed detection system's longitudinal resolution can reach 1mm. 4) we obtained the conductivity profile of pork tissue. The results showed that our detection platform could accurately distinguish the target sample's interfaces of conductivity variations, increasing the excitation frequency, reducing the cycle number, and adopting the B-mode imaging algorithm could improve its conductivity detection resolution, which laid the foundation for the design of a high-resolution MAET detection system.

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Performance improvement of magneto-acousto-electrical tomography for biological tissues with sinusoid-Barker coded excitation

Cited by 17 publications

References 39 publications

A B-Scan Imaging Method of Conductivity Variation Detection for Magneto–Acousto– Electrical Tomography

A B-Scan Imaging Method of Conductivity Variation Detection for Magneto–Acousto– Electrical Tomography

Research on Pneumothorax Detection Based on Magneto-Acousto-Electrical Tomography

Research on Factors Affecting the Imaging Resolution of Magneto–Acousto–Electrical Tomography

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