We present a three-dimensional model-based approach to calculating conductivity using MRI. Our proposed method is formulated as an inverse problem based on the phase-based conductivity equation. The algorithm includes an edge-preserving regularization term and we explore the utility of non-negativity constraints. Structural information is also used to inform regions over which to regularize. We present results for simulation, phantom, and human brain data.