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A Gaussian extension for Diffraction Enhanced Imaging

Unlike conventional x-ray attenuation one of the advantages of phase contrast x-ray imaging is its capability of extracting useful physical properties of the sample. In particular the possibility to obtain information from small angle scattering about unresolvable structures with sub-pixel resolutio...

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Autores principales: Arfelli, Fulvia, Astolfo, Alberto, Rigon, Luigi, Menk, Ralf Hendrik
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5762803/
https://www.ncbi.nlm.nih.gov/pubmed/29321544
http://dx.doi.org/10.1038/s41598-017-18367-x
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author Arfelli, Fulvia
Astolfo, Alberto
Rigon, Luigi
Menk, Ralf Hendrik
author_facet Arfelli, Fulvia
Astolfo, Alberto
Rigon, Luigi
Menk, Ralf Hendrik
author_sort Arfelli, Fulvia
collection PubMed
description Unlike conventional x-ray attenuation one of the advantages of phase contrast x-ray imaging is its capability of extracting useful physical properties of the sample. In particular the possibility to obtain information from small angle scattering about unresolvable structures with sub-pixel resolution sensitivity has drawn attention for both medical and material science applications. We report on a novel algorithm for the analyzer based x-ray phase contrast imaging modality, which allows the robust separation of absorption, refraction and scattering effects from three measured x-ray images. This analytical approach is based on a simple Gaussian description of the analyzer transmission function and this method is capable of retrieving refraction and small angle scattering angles in the full angular range typical of biological samples. After a validation of the algorithm with a simulation code, which demonstrated the potential of this highly sensitive method, we have applied this theoretical framework to experimental data on a phantom and biological tissues obtained with synchrotron radiation. Owing to its extended angular acceptance range the algorithm allows precise assessment of local scattering distributions at biocompatible radiation doses, which in turn might yield a quantitative characterization tool with sufficient structural sensitivity on a submicron length scale.
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spelling pubmed-57628032018-01-17 A Gaussian extension for Diffraction Enhanced Imaging Arfelli, Fulvia Astolfo, Alberto Rigon, Luigi Menk, Ralf Hendrik Sci Rep Article Unlike conventional x-ray attenuation one of the advantages of phase contrast x-ray imaging is its capability of extracting useful physical properties of the sample. In particular the possibility to obtain information from small angle scattering about unresolvable structures with sub-pixel resolution sensitivity has drawn attention for both medical and material science applications. We report on a novel algorithm for the analyzer based x-ray phase contrast imaging modality, which allows the robust separation of absorption, refraction and scattering effects from three measured x-ray images. This analytical approach is based on a simple Gaussian description of the analyzer transmission function and this method is capable of retrieving refraction and small angle scattering angles in the full angular range typical of biological samples. After a validation of the algorithm with a simulation code, which demonstrated the potential of this highly sensitive method, we have applied this theoretical framework to experimental data on a phantom and biological tissues obtained with synchrotron radiation. Owing to its extended angular acceptance range the algorithm allows precise assessment of local scattering distributions at biocompatible radiation doses, which in turn might yield a quantitative characterization tool with sufficient structural sensitivity on a submicron length scale. Nature Publishing Group UK 2018-01-10 /pmc/articles/PMC5762803/ /pubmed/29321544 http://dx.doi.org/10.1038/s41598-017-18367-x Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Arfelli, Fulvia
Astolfo, Alberto
Rigon, Luigi
Menk, Ralf Hendrik
A Gaussian extension for Diffraction Enhanced Imaging
title A Gaussian extension for Diffraction Enhanced Imaging
title_full A Gaussian extension for Diffraction Enhanced Imaging
title_fullStr A Gaussian extension for Diffraction Enhanced Imaging
title_full_unstemmed A Gaussian extension for Diffraction Enhanced Imaging
title_short A Gaussian extension for Diffraction Enhanced Imaging
title_sort gaussian extension for diffraction enhanced imaging
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5762803/
https://www.ncbi.nlm.nih.gov/pubmed/29321544
http://dx.doi.org/10.1038/s41598-017-18367-x
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