title: A resistive mesh phantom for assessing the performance of EIT systems.
abstract: Assessing the performance of electrical impedance tomography (EIT) systems usually requires a phantom for validation, calibration, or comparison purposes. This paper describes a resistive mesh phantom to assess the performance of EIT systems while taking into account cabling stray effects similar to in vivo conditions. This phantom is built with 340 precision resistors on a printed circuit board representing a 2-D circular homogeneous medium. It also integrates equivalent electrical models of the Ag/AgCl electrode impedances. The parameters of the electrode models were fitted from impedance curves measured with an impedance analyzer. The technique used to build the phantom is general and applicable to phantoms of arbitrary shape and conductivity distribution. We describe three performance indicators that can be measured with our phantom for every measurement of an EIT data frame: SNR, accuracy, and modeling accuracy. These performance indicators were evaluated on our EIT system under different frame rates and applied current intensities. The performance indicators are dependent on frame rate, operating frequency, applied current intensity, measurement strategy, and intermodulation distortion when performing simultaneous measurements at several frequencies. These parameter values should, therefore, always be specified when reporting performance indicators to better appreciate their significance.
authors.affiliation: Institut de Génie Biomédical, Ecole Polytechnique de Montréal, Montréal, QC H3C3A7, Canada. gagnon@igb.polymtl.ca
authors.forename: Hervé
authors.initials: H
authors.lastname: Gagnon
authors.forename: Martin
authors.initials: M
authors.lastname: Cousineau
authors.forename: Andy
authors.initials: A
authors.lastname: Adler
authors.forename: Alzbeta E
authors.initials: AE
authors.lastname: Hartinger
mesh_terms: D017097:Electric Impedance; D004867:Equipment Design; D019047:Phantoms, Imaging; D012815:Signal Processing, Computer-Assisted; D014054:Tomography / Q000379:methods*