a finite element method with 12,000 elements. The algorithm converged in five iterations, and took approximately 20 minutes to obtain each image. Before running the minimization algorithm, the approximation error vector is computed requiring additional 30 minutes of computation time.

[[The maximum, minimum, and average reconstructed values of conductivity, and permittivity where applicable, in each of the organ regions were calculated and are provided in the tables in Section \[sec:results\] for each reconstruction method and dataset. The organ boundaries were identified from the photos in Figure \[fig:phantoms\] and superimposed on each of the reconstructions. No distortion of the superimposed organ shapes was imposed for the reconstructions on the incorrect boundary shapes.]{}]{}

The dynamic range of each conductivity reconstruction was computed by the formula $$\label{DynRange}
\mbox{Dynamic Range} = \frac{\sigma^{recon}_{max} - \sigma^{recon}_{min}}{\sigma^{true}_{max} -\sigma^{true}_{min}} \times 100\%,$$ where $\sigma^{recon}_{max}$ is the maximum value over all pixels in the reconstruction, and $\sigma^{true}_{max}$ is the maximum value over each of the targets as measured by the conductivimeter, and $\sigma^{recon}_{min}$ and $\sigma^{true}_{min}$ are defined analogously. [[The dynamic range for the susceptivity is similarly defined.]{}]{} The [*‘Approach 2’*]{} D-bar reconstructions computed here required approximately [[13]{}]{} seconds of computation time using a four-core [[laptop]{}]{} computer with [[2.9]{}]{} GHz Intel 