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Robust phase retrieval for high resolution edge illumination x-ray phase-contrast computed tomography in non-ideal environments

Edge illumination x-ray phase contrast tomography is a recently developed imaging technique which enables three-dimensional visualisation of low-absorbing materials. Dedicated phase retrieval algorithms can provide separate computed tomography (CT) maps of sample absorption, refraction and scatterin...

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Autores principales: Zamir, Anna, Endrizzi, Marco, Hagen, Charlotte K., Vittoria, Fabio A., Urbani, Luca, De Coppi, Paolo, Olivo, Alessandro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4977490/
https://www.ncbi.nlm.nih.gov/pubmed/27502296
http://dx.doi.org/10.1038/srep31197
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author Zamir, Anna
Endrizzi, Marco
Hagen, Charlotte K.
Vittoria, Fabio A.
Urbani, Luca
De Coppi, Paolo
Olivo, Alessandro
author_facet Zamir, Anna
Endrizzi, Marco
Hagen, Charlotte K.
Vittoria, Fabio A.
Urbani, Luca
De Coppi, Paolo
Olivo, Alessandro
author_sort Zamir, Anna
collection PubMed
description Edge illumination x-ray phase contrast tomography is a recently developed imaging technique which enables three-dimensional visualisation of low-absorbing materials. Dedicated phase retrieval algorithms can provide separate computed tomography (CT) maps of sample absorption, refraction and scattering properties. In this paper we propose a novel “modified local retrieval” method which is capable of accurately retrieving sample properties in a range of realistic, non-ideal imaging environments. These include system misalignment, defects in the used optical elements and system geometry variations over time due to vibrations or temperature fluctuations. System instabilities were analysed, modelled and incorporated into a simulation study. As a result, an additional modification was introduced to the retrieval procedure to account for changes in the imaging system over time, as well as local variations over the field of view. The performance of the proposed method was evaluated in comparison to a previously used “global retrieval” method by applying both approaches to experimental CT data of a rat’s heart acquired in a non-ideal environment. The use of the proposed method resulted in the removal of major artefacts, leading to a significant improvement in image quality. This method will therefore enable acquiring high-resolution, reliable CT data of large samples in realistic settings.
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spelling pubmed-49774902016-08-22 Robust phase retrieval for high resolution edge illumination x-ray phase-contrast computed tomography in non-ideal environments Zamir, Anna Endrizzi, Marco Hagen, Charlotte K. Vittoria, Fabio A. Urbani, Luca De Coppi, Paolo Olivo, Alessandro Sci Rep Article Edge illumination x-ray phase contrast tomography is a recently developed imaging technique which enables three-dimensional visualisation of low-absorbing materials. Dedicated phase retrieval algorithms can provide separate computed tomography (CT) maps of sample absorption, refraction and scattering properties. In this paper we propose a novel “modified local retrieval” method which is capable of accurately retrieving sample properties in a range of realistic, non-ideal imaging environments. These include system misalignment, defects in the used optical elements and system geometry variations over time due to vibrations or temperature fluctuations. System instabilities were analysed, modelled and incorporated into a simulation study. As a result, an additional modification was introduced to the retrieval procedure to account for changes in the imaging system over time, as well as local variations over the field of view. The performance of the proposed method was evaluated in comparison to a previously used “global retrieval” method by applying both approaches to experimental CT data of a rat’s heart acquired in a non-ideal environment. The use of the proposed method resulted in the removal of major artefacts, leading to a significant improvement in image quality. This method will therefore enable acquiring high-resolution, reliable CT data of large samples in realistic settings. Nature Publishing Group 2016-08-09 /pmc/articles/PMC4977490/ /pubmed/27502296 http://dx.doi.org/10.1038/srep31197 Text en Copyright © 2016, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Zamir, Anna
Endrizzi, Marco
Hagen, Charlotte K.
Vittoria, Fabio A.
Urbani, Luca
De Coppi, Paolo
Olivo, Alessandro
Robust phase retrieval for high resolution edge illumination x-ray phase-contrast computed tomography in non-ideal environments
title Robust phase retrieval for high resolution edge illumination x-ray phase-contrast computed tomography in non-ideal environments
title_full Robust phase retrieval for high resolution edge illumination x-ray phase-contrast computed tomography in non-ideal environments
title_fullStr Robust phase retrieval for high resolution edge illumination x-ray phase-contrast computed tomography in non-ideal environments
title_full_unstemmed Robust phase retrieval for high resolution edge illumination x-ray phase-contrast computed tomography in non-ideal environments
title_short Robust phase retrieval for high resolution edge illumination x-ray phase-contrast computed tomography in non-ideal environments
title_sort robust phase retrieval for high resolution edge illumination x-ray phase-contrast computed tomography in non-ideal environments
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4977490/
https://www.ncbi.nlm.nih.gov/pubmed/27502296
http://dx.doi.org/10.1038/srep31197
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