Capacitively Coupled Phase-based Dielectric Spectroscopy Tomography

Abstract

Impedance imaging is an effective approach for non-intrusively reconstruct the distribution of dielectric parameters inside the region of interest. Most common form of impedance imaging is electrical impedance tomography (EIT), which requires direct contact with the medium via electrodes. In this work we present a novel impedance imaging using capacitive coupling which provides a contactless method, totally non-invasive and non-intrusive, by measuring the phase. There are less attentions in many prior works to the phase information of the voltage/current measurements. This work studies for the first time the capacitively coupled electrical phase spectroscopy for contactless dielectric parameter imaging. A 12-electrode capacitively coupled test phantom and a measurement system were used to obtain the phase measurements within a wideband frequency range from 200 kHz to 15 MHz. Background data with different conductivity levels were investigated in the experiments to show a broad application possibility. The forward modelling was implemented by simulation and the image reconstruction based on phase measurements was implemented with the total variation algorithm. The potentials, possibilities and challenges of such capacitively coupled dielectric spectroscopy tomography with phase data are discussed in this work.

Application of Deep Neural Network to the Reconstruction of Two-Phase Material Imaging by Capacitively Coupled Electrical Resistance Tomography

“…This method applied L-M for the initial guess and SART for final reconstruction [37]. Recently, the total variation (TV) algorithm with split Bregman iterations was used for CCERT reconstruction [15].…”

“…After carefully choosing the regularization parameter, we optimized the image by deleting the artifacts. A more detailed description of the proposed TV method for CCERT can be seen in [15]. To be able to compare this method with the binary CNN algorithm, the TV-reconstructed images were the thresholds for the binary images.…”

“…Based on the capacitively coupled contactless conductivity detection (C 4 D) technique, CCERT avoids contact error by inserting an insulation layer between the electrodes and conductive contents [11]. Besides that, experiments show that CCERT could have a larger excitation frequency domain than that of traditional ERT, which results in better imaging results [15,16]. Therefore, CCERT is attracting more and more researchers' attention.…”

Toward Nonvolatile Switching in Silicon Photonic Devices

“…[ 81 ] Furthermore, the subwavelength patterning allowed GST to be switched more efficiently, i.e., with lower energy consumption, and faster. On the other hand, the use of other GST alloys, such as Ge 2 Sb 2 Se 4 Te 1 (GSST) [ 82–84 ] or Ge 2 Sb 2 Se 5 (GSS), [ 85 ] with smaller optical losses at both phase states in the telecom wavelength range has also been proposed to implement nonvolatile photonic devices with lower insertion losses.…”

An amplitude-based characteristic parameter extraction algorithm for cerebral edema detection based on electromagnetic induction

“…Electromagnetic induction detection has developed many research branches. For example, Capacitively Coupled Electrical Impedance Tomography (CCEIT) uses low-frequency electric field to study the permittivity of biological tissues [ 19 , 23 ]. However, the capacitive sensor used in the CCEIT method has low sensitivity in the deep part of the brain.…”