A 3D multi-frequency response electrical mesh phantom for validation of the planar structure EIT system performance

Zarafshani, A, Qureshi, T, Bach, T, Chatwin, C R and Soleimani, M (2016) A 3D multi-frequency response electrical mesh phantom for validation of the planar structure EIT system performance. Published in: Proceedings of the 2016 IEEE International Conference on Electro Information Technology (EIT); University of North Dakota; 19-21 May 2016. 1-5. ISSN 2154-0373 ISBN 9781467399852

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Abstract

Assessment and validation of the Electrical Impedance Tomography (EIT) system performance and calibration of systematic errors in the electrical field generated inside of the interrogated volume is an important requirement. System instabilities can be caused by the EIT design and must be characterized before and during the clinical trials. Evaluation of the Sussex EIT system used in the clinical study can be based on a realistic electronic phantom. We designed a mesh phantom based on the electrode configuration and mesh structures of the image reconstruction. The phantom has the capability of modelling the cellular electrical properties that are operative within a circular homogeneous medium. The design is optimized to assess the planar topology of the internal impedance distribution. The system employs the information from the electrical properties of biological tissues to evaluate the Cole-Cole dispersion data. This mesh phantom is capable of producing localized conductivity perturbations between each arbitrary channel in the electrode placement planar phantom topology by measuring all 1416 combinations that are to be used in the image reconstruction. The phantom is especially designed for the Sussex EIT system to validate system performance of measurements consisting of SNR, and modelling system accuracy.

Item Type: Conference Proceedings
Keywords: Electrical Impedance Tomography, EIT, Electrical Phantom, Impedance spectroscopy, multi frequency
Schools and Departments: School of Engineering and Informatics > Engineering and Design
Research Centres and Groups: Industrial Informatics and Signal Processing Research Group
Subjects: Q Science > QC Physics > QC0501 Electricity and magnetism > QC0522 Electricity
R Medicine > R Medicine (General) > R856 Biomedical engineering. Electronics. Instrumentation
Depositing User: Chris Chatwin
Date Deposited: 08 Jun 2016 08:10
Last Modified: 11 Jul 2017 09:31
URI: http://sro.sussex.ac.uk/id/eprint/61385

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