Multifrequency Electrical Impedance Tomography Images for Swine Pneumonia Detection Using Conductivity Differences

Author:

Busarello Wolff Julia Grasiela1ORCID,Kingeski Rafael1ORCID,Santos Wellington Pinheiro dos2ORCID,Cristani José3ORCID,Traverso Sandra Davi3ORCID,Paterno Aleksander Sade1ORCID

Affiliation:

1. Departamento de Engenharia Elétrica, Centro de Ciências Tecnológicas—CCT, UDESC, Rua Paulo Malschitzki, 200, Zona Industrial Norte, Joinville 89219-710, SC, Brazil

2. Departamento de Engenharia Biomédica, Centro de Tecnologia e Geociências—CTG, Av. da Arquitetura, s/nº, 3º andar, Cidade Universitária, Recife 50740-550, PE, Brazil

3. Departamento de Produção Animal e Alimentos, Centro de Agronomia e Veterinária—CAV, UDESC, Av. Luiz de Camões, 2090, Conta Dinheiro, Lages 88520-000, SC, Brazil

Abstract

This article introduces a new MfEIT UDESC Mark I system, which consists of a 32-electrode setup featuring a modified Howland current source, low cost, portability, and non-radiation. The system is capable of reconstructing electrical conductivity tomographic images at a rate of 30.624 frames per second, taking about 5 min for imaging. The current source employs a 0.5 mA adjacent current application pattern with frequencies ranging from 10 kHz to 1 MHz. This article outlines the hardware, firmware, and software design specifications, which include the design of the current source, calibration procedures, and image reconstruction process. Tomographic images of conductivity were reconstructed in ex vivo healthy pig lungs and those with pneumonia, as a proof of concept for future applications in live pigs. The high spectral power density, combined with real-time system calibration provides clinical advantages in veterinary medicine. The goal is to identify lung areas affected by Mycoplasma hyopneumoniae in pigs through the analysis of electrical conductivity difference, offering a valuable tool to assist veterinarians to obtain images of respiratory diseases. The modified reconstruction method GREIT (EIDORS) was evaluated with experimental data and was compared with the Gauss–Newton and Total Variation methods, where GREIT 2D proved to be superior.

Funder

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Publisher

MDPI AG

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