Numerical implementation of magneto-acousto-electrical tomography (MAET) using a linear phased array transducer

Gozu, Mehmet Soner; Zengin, Reyhan; Gençer, N.G.

doi:10.1088/1361-6560/aa9f3b

Cited by 14 publications

(4 citation statements)

References 24 publications

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“…Since the pressure shape function in this interface was quartic, the mesh size in the DG method was set to be at least half the wavelength to achieve appropriate spatial resolution. Regarding the pressure acoustics transient interface used in Gözü et al (2018), the pressure shape function in the pressure acoustics interface was quadratic, so the mesh size was set to be at least one quarter of the wavelength. The minimum mesh unit in the DG method was smaller than that in the pressure acoustic interface.…”

Section: Methods For Computer Simulationmentioning

confidence: 99%

“…The imaging system was analyzed through the singular value decomposition (SVD) of sensitivity matrix, while the conductivity images in case of different noise levels were reconstructed by applying the truncated SVD algorithm. Later, the conductivity distribution in biological tissues was imaged by Gözü et al (2018) using a LPA transducer with electrode measurements. Recently, a data-acquisition system for MAET with magnetic field measurements was established (Kaboutari et al 2019).…”

Section: Introductionmentioning

confidence: 99%

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Rapid rotational magneto-acousto-electrical tomography with filtered back-projection algorithm based on plane waves

et al. 2021

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Magneto-acousto-electrical tomography (MAET) is designed to produce conductivity images with high spatial resolution for a conducting object. In a previous study, for an irregular conductor, transverse scanning and rotational methods with a focus transducer were combined to collect complete electrical information. This kind of method, however, is time-consuming because of the transverse scanning procedure. In this study, we proposed a novel imaging method based on plane ultrasound waves and a new aspect of projection in rotational MAET. In the proposed method, we achieved the projection in each rotation angle by using plane waves rather than mechanical scanning of the focus waves along the transverse direction. Thus, the imaging time was significantly saved. To verify the proposed method, we derived a measurement formula containing a lateral integration, which built the relationship between the measurement formula and the projection under each rotation angle. Next, we constructed two different numerical models to compute magneto-acousto-electrical signals by using a finite element method and reconstructed the corresponding conductivity parameter images based on a filtered back-projection algorithm. Then, simulated signals under different signal-to-ratios (6, 20, 40, and 60 dB) were generated to test the performance of the proposed algorithm. To improve the image quality, we further analysed the influence of the filters and the frequency scaling factors embedded in the filtered back-projection algorithm. Moreover, we computed the L2 norm of the error in case of different frequency scaling factors and measurement noises. Finally, we conducted a phantom experiment with a 64-element linear phased array transducer (center frequency of 2.7 MHz) and reconstructed the conductivity parameter images of the circular phantom with an elliptical hole. The experimental results demonstrated the feasibility and time-efficiency of the proposed rapid rotational MAET.

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Section: Methods For Computer Simulationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Rapid rotational magneto-acousto-electrical tomography with filtered back-projection algorithm based on plane waves

et al. 2021

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“…This team proposed the reconstruction theory model of MAET with coil detection based on the reciprocity theorem and obtained a two-dimensional image of conductivity. Subsequently, two forms of the inductive receiver coils (rectangular coils and x-y coil sets) were simulated and reconstructed based on the reciprocity theorem; Reyhan et al [37][38] from the Middle East Technical University, Turkey also obtained two-dimensional electrical conductivity images. In 2020, Li et al [39] further developed the 3D MAET reconstruction theory and reconstructed the conductivity images.…”

Section: Magneto-acousto-electrical Tomographymentioning

confidence: 99%

A Review on the Coupled Method of Using the Magnetic and Acoustic Fields for Biological Tissue Imaging

Liu

2023

Chin. J. Electr. Eng.

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Magnetic field and acoustic field coupled imaging methods mainly include magnetoacoustic tomography, magneto-acousto-electrical tomography, and thermoacoustic tomography, all of which non-invasively achieve the electrical conductivity imaging of tissues with a resolution of up to the millimeter scale. The principles of these three imaging methods and the research progress in the last two decades are reviewed. First, the principles of the three magnetic and acoustic field coupled methods are individually introduced. The progress in medical electromagnetic imaging is further elaborated, and finally the future directions and summary of the coupled imaging methods are summarized.

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“…In previous research, the ultrasonic excitation source includes single pulse (Li et al 2018, Zhou et al 2018, linear frequency modulation (Sun et al 2017, Dai et al 2018, and differential frequency signal excitation (Elena et al 2010). The transducer has also developed from a plane transducer (Montalibet et al 2001) to a focusing transducer (Grasland-Mongrain et al 2014, Gözü et al 2018, Guo et al 2018, and two different detection modes: coil (Guo et al 2014, Kunyansky et al 2017 or electrode (Kunyansky 2012, Ammari et al 2014, Li et al 2020a, Lin et al 2022. Researchers have carried out related theories and applications to improve the SNR from many aspects, such as changing the signal mode and energy of the ultrasonic excitation source and increasing the strength of the static magnetic field.…”

Section: Introductionmentioning

confidence: 99%

The application of a wavelet filtering method in magneto-acousto-electrical tomography

Jin¹,

Zhao²,

Liu³

et al. 2023

Phys. Med. Biol.

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Magneto-Acousto-Electrical Tomography (MAET), which couples Ultrasound Imaging with Electrical Impedance Tomography, is an electrical property imaging method which is expected to have a wide range of clinical applications including early detection of breast and liver cancers. Obviously, as a coupled imaging method, how to improve the signal-to-noise ratio(SNR) is a key issue in the imaging process. In this paper, the filtering method of wavelets is introduced into MAET, which includes the filtering effect of db6 wavelet, and its filtering effect at different decomposition levels. At the same time, based on the Lorentz reciprocity theorem, the wave equation satisfied by the detected voltage obtained by electrode was deduced. We also built an experimental platform in this paper to acquire signals by keeping the position of the target unchanged and moving the ultrasound transducer along the trajectory of a circular arc. The experiment results show that the wavelet filtering scheme proposed in this paper improves the SNR of the detected signal of 15.1dB, and the image of electrical properties of phantom and pork from isolated tissues were realized by the filtered signal of db6 wavelet and time reversal method, which can reflect the interface of electrical conductivity change of tissues. This scanning method of fixing the target body and rotating the transducer can effectively reduce the error and noise caused by the movement of the detection electrodes in the experiment. The filtering technique and imaging algorithm proposed in this paper have improved the SNR and contrast of images. Thus, the images of low conductivity phantom with 0.2S/m and isolated tissue were obtained, which indicate that the MAET has a good prospect in clinical application.

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Numerical implementation of magneto-acousto-electrical tomography (MAET) using a linear phased array transducer

Cited by 14 publications

References 24 publications

Rapid rotational magneto-acousto-electrical tomography with filtered back-projection algorithm based on plane waves

Rapid rotational magneto-acousto-electrical tomography with filtered back-projection algorithm based on plane waves

A Review on the Coupled Method of Using the Magnetic and Acoustic Fields for Biological Tissue Imaging

The application of a wavelet filtering method in magneto-acousto-electrical tomography

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