  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 model\textbf{}ing 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 seconds) and quality of
the reconstructions is encouraging for future work in absolute EIT.
