Quantitative analysis of speckle-based X-ray dark-field imaging using numerical wave-optics simulations

Abstract The dark-field signal measures the small-angle scattering strength and provides complementary diagnostic information. This is of particular interest for lung imaging due to the pronounced small-angle scatter from the alveolar microstructure. However, most dark-field imaging techniques are r...

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Autores principales:	Sebastian Meyer, Serena Z. Shi, Nadav Shapira, Andrew D. A. Maidment, Peter B. Noël
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/4193adc9d62b4e14ae51e1cbd1cd3f29
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spelling	oai:doaj.org-article:4193adc9d62b4e14ae51e1cbd1cd3f292021-12-02T15:08:22ZQuantitative analysis of speckle-based X-ray dark-field imaging using numerical wave-optics simulations10.1038/s41598-021-95227-92045-2322https://doaj.org/article/4193adc9d62b4e14ae51e1cbd1cd3f292021-08-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-95227-9https://doaj.org/toc/2045-2322Abstract The dark-field signal measures the small-angle scattering strength and provides complementary diagnostic information. This is of particular interest for lung imaging due to the pronounced small-angle scatter from the alveolar microstructure. However, most dark-field imaging techniques are relatively complex, dose-inefficient, and require sophisticated optics and highly coherent X-ray sources. Speckle-based imaging promises to overcome these limitations due to its simple and versatile setup, only requiring the addition of a random phase modulator to conventional X-ray equipment. We investigated quantitatively the influence of sample structure, setup geometry, and source energy on the dark-field signal in speckle-based X-ray imaging with wave-optics simulations for ensembles of micro-spheres. We show that the dark-field signal is accurately predicted via a model originally derived for grating interferometry when using the mean frequency of the speckle pattern power spectral density as the characteristic speckle size. The size directly reflects the correlation length of the diffuser surface and did not change with energy or propagation distance within the near-field. The dark-field signal had a distinct dependence on sample structure and setup geometry but was also affected by beam hardening-induced modifications of the visibility spectrum. This study quantitatively demonstrates the behavior of the dark-field signal in speckle-based X-ray imaging.Sebastian MeyerSerena Z. ShiNadav ShapiraAndrew D. A. MaidmentPeter B. NoëlNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-9 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Sebastian Meyer Serena Z. Shi Nadav Shapira Andrew D. A. Maidment Peter B. Noël Quantitative analysis of speckle-based X-ray dark-field imaging using numerical wave-optics simulations
description	Abstract The dark-field signal measures the small-angle scattering strength and provides complementary diagnostic information. This is of particular interest for lung imaging due to the pronounced small-angle scatter from the alveolar microstructure. However, most dark-field imaging techniques are relatively complex, dose-inefficient, and require sophisticated optics and highly coherent X-ray sources. Speckle-based imaging promises to overcome these limitations due to its simple and versatile setup, only requiring the addition of a random phase modulator to conventional X-ray equipment. We investigated quantitatively the influence of sample structure, setup geometry, and source energy on the dark-field signal in speckle-based X-ray imaging with wave-optics simulations for ensembles of micro-spheres. We show that the dark-field signal is accurately predicted via a model originally derived for grating interferometry when using the mean frequency of the speckle pattern power spectral density as the characteristic speckle size. The size directly reflects the correlation length of the diffuser surface and did not change with energy or propagation distance within the near-field. The dark-field signal had a distinct dependence on sample structure and setup geometry but was also affected by beam hardening-induced modifications of the visibility spectrum. This study quantitatively demonstrates the behavior of the dark-field signal in speckle-based X-ray imaging.
format	article
author	Sebastian Meyer Serena Z. Shi Nadav Shapira Andrew D. A. Maidment Peter B. Noël
author_facet	Sebastian Meyer Serena Z. Shi Nadav Shapira Andrew D. A. Maidment Peter B. Noël
author_sort	Sebastian Meyer
title	Quantitative analysis of speckle-based X-ray dark-field imaging using numerical wave-optics simulations
title_short	Quantitative analysis of speckle-based X-ray dark-field imaging using numerical wave-optics simulations
title_full	Quantitative analysis of speckle-based X-ray dark-field imaging using numerical wave-optics simulations
title_fullStr	Quantitative analysis of speckle-based X-ray dark-field imaging using numerical wave-optics simulations
title_full_unstemmed	Quantitative analysis of speckle-based X-ray dark-field imaging using numerical wave-optics simulations
title_sort	quantitative analysis of speckle-based x-ray dark-field imaging using numerical wave-optics simulations
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/4193adc9d62b4e14ae51e1cbd1cd3f29
work_keys_str_mv	AT sebastianmeyer quantitativeanalysisofspecklebasedxraydarkfieldimagingusingnumericalwaveopticssimulations AT serenazshi quantitativeanalysisofspecklebasedxraydarkfieldimagingusingnumericalwaveopticssimulations AT nadavshapira quantitativeanalysisofspecklebasedxraydarkfieldimagingusingnumericalwaveopticssimulations AT andrewdamaidment quantitativeanalysisofspecklebasedxraydarkfieldimagingusingnumericalwaveopticssimulations AT peterbnoel quantitativeanalysisofspecklebasedxraydarkfieldimagingusingnumericalwaveopticssimulations
_version_	1718388181451145216

Quantitative analysis of speckle-based X-ray dark-field imaging using numerical wave-optics simulations

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