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Dynamic Tomographic Reconstruction of Deforming Volumes

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...

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Autores principales: Jailin, Clément, Roux, Stéphane
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6119884/
https://www.ncbi.nlm.nih.gov/pubmed/30096947
http://dx.doi.org/10.3390/ma11081395
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author Jailin, Clément
Roux, Stéphane
author_facet Jailin, Clément
Roux, Stéphane
author_sort Jailin, Clément
collection PubMed
description 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.
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spelling pubmed-61198842018-09-05 Dynamic Tomographic Reconstruction of Deforming Volumes Jailin, Clément Roux, Stéphane Materials (Basel) Article 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. MDPI 2018-08-09 /pmc/articles/PMC6119884/ /pubmed/30096947 http://dx.doi.org/10.3390/ma11081395 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Jailin, Clément
Roux, Stéphane
Dynamic Tomographic Reconstruction of Deforming Volumes
title Dynamic Tomographic Reconstruction of Deforming Volumes
title_full Dynamic Tomographic Reconstruction of Deforming Volumes
title_fullStr Dynamic Tomographic Reconstruction of Deforming Volumes
title_full_unstemmed Dynamic Tomographic Reconstruction of Deforming Volumes
title_short Dynamic Tomographic Reconstruction of Deforming Volumes
title_sort dynamic tomographic reconstruction of deforming volumes
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6119884/
https://www.ncbi.nlm.nih.gov/pubmed/30096947
http://dx.doi.org/10.3390/ma11081395
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