Dual-energy iterative reconstruction for material characterisation

B. Recur; M. Paziresh; G. Myers; A. Kingston; S. Latham; A. Sheppard

doi:10.1117/12.2062442

11 September 2014 Dual-energy iterative reconstruction for material characterisation

B. Recur, M. Paziresh, G. Myers, A. Kingston, S. Latham, A. Sheppard

Proceedings Volume 9212, Developments in X-Ray Tomography IX; 921213 (2014) https://doi.org/10.1117/12.2062442
Event: SPIE Optical Engineering + Applications, 2014, San Diego, California, United States

Abstract

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.

Citation Download Citation

B. Recur, M. Paziresh, G. Myers, A. Kingston, S. Latham, and A. Sheppard "Dual-energy iterative reconstruction for material characterisation", Proc. SPIE 9212, Developments in X-Ray Tomography IX, 921213 (11 September 2014); https://doi.org/10.1117/12.2062442

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