Computed tomography is necessarily when estimating fluid material properties that are imaged via radiography. Application-specific constraints, such as processing speed, construction constraints and automated data processing policies, require the reconstruction of volumetric MECT from compressed-sensing radiographic projections. We address this challenge via iterative reconstruction and deep neural networks.
Multi-Energy Computed Tomography (MECT) Reconstruction
