In this paper, we develop a dual-energy ordered subsets convex method for transmission tomography based on material matching with a material dictionary. This reconstruction includes a constrained update forcing material characteristics of reconstructed atomic number (Z) and density (p) volumes to follow a distribution according to the material database provided. We also propose a probabilistic classification technique in order to manage this material distribution. The overall process produces a chemically segmented volume data and outperforms sequential labelling computed after tomographic reconstruction.
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B. Recur ; M. Paziresh ; G. Myers ; A. Kingston ; S. Latham, et al.
Dual-energy iterative reconstruction for material characterisation
", Proc. SPIE 9212, Developments in X-Ray Tomography IX, 921213 (September 11, 2014); doi:10.1117/12.2062442; http://dx.doi.org/10.1117/12.2062442