Beam-hardening corrections through a polychromatic projection model integrated to an iterative reconstruction algorithm.

Di Schiavi Trotta, Leonardo; Matenine, Dmitri; Martini, Margherita; Stierstorfer, Karl; Lemaréchal, Yannick; Francus, Pierre ORCID: https://orcid.org/0000-0001-5465-1966 et Després, Philippe (2022). Beam-hardening corrections through a polychromatic projection model integrated to an iterative reconstruction algorithm. NDT & E International , vol. 126 . p. 102594. DOI: 10.1016/j.ndteint.2021.102594.

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Résumé

In this work, a novel physics-rich beam-hardening correction algorithm was developed for X-ray Computed Tomography. This method uses the spectrum information, the detector response, the filter geometry and a calibration curve. The correction, which does not require prior material knowledge, was embedded in an iterative reconstruction algorithm, and simulates the beam-hardening by estimating the X-ray spectrum at each voxel in the forward projection step. As a result, beam-hardening artifacts are inherently reduced in reconstructed images. For a regular reconstruction matrix of 512 pixels × 512 pixels, processing times of approximately ∼5 s per slice were obtained using a four GPU setup. This method was also compared to the dual-energy beam-hardening correction method proposed by Alvarez and Macovski, which it outperforms when high-Z elements are involved.

Type de document:	Article
Mots-clés libres:	beam-hardening correction; iterative reconstruction; computed tomography; GPU acceleration; dual-energy computed tomography
Centre:	Centre Eau Terre Environnement
Date de dépôt:	09 févr. 2022 15:39
Dernière modification:	16 déc. 2022 05:00
URI:	https://espace.inrs.ca/id/eprint/12223

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