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Issue title: Special Issue on Tomography and Neuroscience
Guest editors: Sara Brunetti, Paolo Dulio, Andrea Frosini and Grzegorz Rozenberg
Article type: Research Article
Authors: Turpin, Léonarda; * | Roux, Stéphaneb | Caty, Olivierc | Denneulin, Sébastiend
Affiliations: [a] Laboratoire des Composites Thermo-Structuraux (LCTS), CNRS, CEA, SAFRAN, Univ. de Bordeaux, Pessac, France. [email protected] | [b] Laboratoire de Mécanique et Technologie (LMT), ENS Paris-Saclay, CNRS, Univ. Paris-Saclay, Cachan Cedex, France. [email protected] | [c] Laboratoire des Composites Thermo-Structuraux (LCTS), CNRS, CEA, SAFRAN, Univ. de Bordeaux, Pessac, France. [email protected] | [d] Safran Ceramics, Mérignac, France. [email protected]
Correspondence: [*] Address for correspondence: Laboratoire des Composites Thermo-Structuraux (LCTS), CNRS, CEA, SAFRAN, Univ. de Bordeaux, 3, allée de la Boétie, 33 600 Pessac, France
Abstract: The tomography of an object with limited angle can be addressed through Iterative Reconstruction Reprojection (IRR) procedure, wherein a standard reconstruction procedure is used together with a “filtering” of the image at each iteration. It is here proposed to use as a filter a phase-field—or Cahn-Hilliard—regularization interlaced with a filtered back-projection reconstruction. This reconstruction procedure is tested on a cone-beam tomography of a 3D woven ceramic composite material, and is shown to retrieve a reconstructed volume with very low artifacts in spite of a large missing angle interval (up to 28%).
Keywords: Iterative Reconstruction Reprojection (IRR), X-ray micro-CT, Limited-angle reconstruction, Regularization, Phase field
DOI: 10.3233/FI-2020-1901
Journal: Fundamenta Informaticae, vol. 172, no. 2, pp. 203-219, 2020
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