Regional admittivity reconstruction with multi-frequency complex admittance data using contactless capacitive electrical tomography

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Abstract

Tomographic imaging of the electrical properties distribution within biological subjects such as the human body has been an active research goal in electrical tomography (ET). As the electrical properties of a living tissue vary with the excitation frequency, measuring the frequency-dependent behaviour of the effective dielectric can increase the possibilities for tissue characterisation, and thus enhance the potential for extended clinical applications. The ET system generally enables to capture the changes in effective dielectric properties at low spatial resolution, therefore, the complete complex admittance spectrum can be reconstructed by ET to enrich the information content and further provide better diagnostic. In this work, we demonstrate a novel contactless ET system which relies on the capacitive coupled principle, the capacitive coupled electrical tomography (CCET). Except the non-contact measuring characteristic, the capacitance-based imaging principle enables the system to obtain the measurements at higher excitation frequencies. These characteristics give CCET great potential in future medical application, as the high-frequency component of complex impedance plays a dominant role in establishing the link between the microscopic cell structures and the macroscopic admittivity images obtained from multi-frequency ET systems. In this paper, we used multi-frequency electrical signals from 320 kHz to 14 MHz to conduct the single and multiple inclusions test with different biological samples. Both the reconstructed tomographic images and the Cole-Cole plots confirm the ability of CCET in characterising different objects.

Original languageEnglish
Article number9410284
Pages (from-to)15277-15290
Number of pages14
JournalIEEE Sensors Journal
Volume21
Issue number13
Early online date21 Apr 2021
DOIs
Publication statusPublished - 1 Jul 2021

Bibliographical note

Funding Information:
Manuscript received February 10, 2021; revised April 10, 2021 and April 14, 2021; accepted April 18, 2021. Date of publication April 21, 2021; date of current version June 30, 2021. This work was supported in part by the University of Bath and in part by Raoul and Catherine Hughes through University Bath’s Alumni Office. The associate editor coordinating the review of this article and approving it for publication was Dr. Qammer H. Abbasi. (Corresponding author: Manuchehr Soleimani.) The authors are with the Electrical and Electronic Engineering Department, University of Bath, Bath BA2 7AY, U.K. (e-mail: [email protected]; [email protected]). Digital Object Identifier 10.1109/JSEN.2021.3074659

Publisher Copyright:
© 2001-2012 IEEE.

Keywords

  • Cole-Cole plots
  • capacitive coupled electrical tomography (CCET)
  • regional admittivity imaging
  • spectroscopy tomography
  • tissue characterisation

ASJC Scopus subject areas

  • Instrumentation
  • Electrical and Electronic Engineering

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