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Materials 2018, 11(8), 1395; https://doi.org/10.3390/ma11081395

Dynamic Tomographic Reconstruction of Deforming Volumes

LMT (ENS Paris-Saclay/CNRS/University Paris-Saclay), 61 avenue du Président Wilson, F-94235 Cachan, France
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Received: 17 July 2018 / Revised: 3 August 2018 / Accepted: 6 August 2018 / Published: 9 August 2018
(This article belongs to the Special Issue In-Situ X-Ray Tomographic Study of Materials)
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Abstract

The motion of a sample while being scanned in a tomograph prevents its proper volume reconstruction. In the present study, a procedure is proposed that aims at estimating both the kinematics of the sample and its standard 3D imaging from a standard acquisition protocol (no more projection than for a rigid specimen). The proposed procedure is a staggered two-step algorithm where the volume is first reconstructed using a “Dynamic Reconstruction” technique, a variant of Algebraic Reconstruction Technique (ART) compensating for a “frozen” determination of the motion, followed by a Projection-based Digital Volume Correlation (P-DVC) algorithm that estimates the space/time displacement field, with a “frozen” microstructure and shape of the sample. Additionally, this procedure is combined with a multi-scale approach that is essential for a proper separation between motion and microstructure. A proof-of-concept of the validity and performance of this approach is proposed based on two virtual examples. The studied cases involve a small number of projections, large strains, up to 25%, and noise. View Full-Text
Keywords: tomographic reconstruction; dynamic tomography; motion compensation; projection-based digital volume correlation tomographic reconstruction; dynamic tomography; motion compensation; projection-based digital volume correlation
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Jailin, C.; Roux, S. Dynamic Tomographic Reconstruction of Deforming Volumes. Materials 2018, 11, 1395.

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