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. 2022 Dec 6;43(12):10.1088/1361-6579/aca26b.
doi: 10.1088/1361-6579/aca26b.

Fast absolute 3D CGO-based electrical impedance tomography on experimental tank data

Affiliations

Fast absolute 3D CGO-based electrical impedance tomography on experimental tank data

S J Hamilton et al. Physiol Meas. .

Abstract

Objective.To present the first 3D CGO-based absolute EIT reconstructions from experimental tank data.Approach.CGO-based methods for absolute EIT imaging are compared to traditional TV regularized non-linear least squares reconstruction methods. Additional robustness testing is performed by considering incorrect modeling of domain shape.Main Results.The CGO-based methods are fast, and show strong robustness to incorrect domain modeling comparable to classic difference EIT imaging and fewer boundary artefacts than the TV regularized non-linear least squares reference reconstructions.Significance.This work is the first to demonstrate fully 3D CGO-based absolute EIT reconstruction on experimental data and also compares to TV-regularized absolute reconstruction. The speed (1-5 s) and quality of the reconstructions is encouraging for future work in absolute EIT.

Keywords: absolute imaging; complex geometrical optics; conductivity; electrical impedance tomography.

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Figures

Figure 1.
Figure 1.
Experimental setups. Left: Top view of the one target experiment. Middle: Top view of two target experiment. Right: side view of height of targets above floor of tank. Note that the targets were measured at 290 mS/m in test cells.
Figure 2.
Figure 2.
3D renderings of simulated boxes used in robustness testing.
Figure 3.
Figure 3.
Absolute image reconstructions comparing the CGO methods to the regularized method with correct domain modeling. Slices, isosurfaces, and 3D renderings of the conductivity are shown. Note the truth targets had a measured conductivity of approx 290 mS/m.
Figure 4.
Figure 4.
Absolute image reconstructions comparing the CGO methods to the regularized method with moderately incorrect domain modeling, using a box of size 18cm × 27cm × 19cm. Note the truth targets had a measured conductivity of approx 290 mS/m.
Figure 5.
Figure 5.
Absolute image reconstructions comparing the CGO methods to the regularized method with largely incorrect domain modeling, using a box of size 20cm × 35cm × 25cm. Note the truth targets had a measured conductivity of approx 290 mS/m.
Figure 6.
Figure 6.
Difference image reconstructions comparing the CGO methods to a typical linear method. Slices and 3D renderings of the conductivity are shown for the correct domain modeling, and increasing levels of error in domain modeling. Note the truth targets had a measured conductivity difference from the background of approx 266 mS/m.
Figure 7.
Figure 7.
Comparison of the effect of the truncation value Tξ of the scattering radius in the texp and t0 CGO methods for Scaled Localization Error (left) and Maximum value of the recovered target. Max conductivity values (right) for Tξ = 11, 11.5, off the plot, spiked into the 1500–5000 mS/m range.

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