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Grating-based spectral X-ray dark-field imaging for correlation with structural size measures
Abstract X-ray dark-field (XDF) imaging accesses information on the small-angle scattering properties of the sample. With grating interferometry, the measured scattering signal is related to the sample’s autocorrelation function, which was previously demonstrated for simple samples, such as mono-dis...
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Published in: | Scientific reports 2020-08, Vol.10 (1), p.13195-13195, Article 13195 |
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description | Abstract
X-ray dark-field (XDF) imaging accesses information on the small-angle scattering properties of the sample. With grating interferometry, the measured scattering signal is related to the sample’s autocorrelation function, which was previously demonstrated for simple samples, such as mono-dispersed microspheres for which the autocorrelation function is mathematically given. However, in potential clinical applications of XDF imaging, complex microstructures, such as lung parenchyma are under investigation. Their bahaviour in XDF imaging is not yet known and no mathematical description of the autocorrelation function is derived so far. In this work we demonstrate the previously established correlation of the XDF data of complex sample structures with their autocorrelation function to be impractical. Furthermore, we propose an applicable correlation between XDF and the sample’s structural parameter on the basis of mean chord length, a medically-approved measure for alveolar structure, known to be affected by structural lung diseases. Our findings reveal a correlation between energy-dependent XDF imaging and the sample’s mean chord length. By that, a connection between a medical measure for alveoli and XDF is achieved, which is particularly important regarding potential future XDF lung imaging applications for the assessment of alveoli size in diagnostic lung imaging. |
doi_str_mv | 10.1038/s41598-020-70011-3 |
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X-ray dark-field (XDF) imaging accesses information on the small-angle scattering properties of the sample. With grating interferometry, the measured scattering signal is related to the sample’s autocorrelation function, which was previously demonstrated for simple samples, such as mono-dispersed microspheres for which the autocorrelation function is mathematically given. However, in potential clinical applications of XDF imaging, complex microstructures, such as lung parenchyma are under investigation. Their bahaviour in XDF imaging is not yet known and no mathematical description of the autocorrelation function is derived so far. In this work we demonstrate the previously established correlation of the XDF data of complex sample structures with their autocorrelation function to be impractical. Furthermore, we propose an applicable correlation between XDF and the sample’s structural parameter on the basis of mean chord length, a medically-approved measure for alveolar structure, known to be affected by structural lung diseases. Our findings reveal a correlation between energy-dependent XDF imaging and the sample’s mean chord length. By that, a connection between a medical measure for alveoli and XDF is achieved, which is particularly important regarding potential future XDF lung imaging applications for the assessment of alveoli size in diagnostic lung imaging.</description><identifier>ISSN: 2045-2322</identifier><identifier>EISSN: 2045-2322</identifier><identifier>DOI: 10.1038/s41598-020-70011-3</identifier><identifier>PMID: 32764614</identifier><language>eng</language><publisher>London: Nature Publishing Group</publisher><subject>Alveoli ; Emphysema ; Energy ; Lung diseases ; Microspheres ; Microstructure ; Parenchyma ; Spheres ; X-rays</subject><ispartof>Scientific reports, 2020-08, Vol.10 (1), p.13195-13195, Article 13195</ispartof><rights>The Author(s) 2020. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>The Author(s) 2020</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c407t-c9ff8fa64c57f762e82197e4945e08ab575b4e210fdb95112a26a69c2f4fd7163</citedby><cites>FETCH-LOGICAL-c407t-c9ff8fa64c57f762e82197e4945e08ab575b4e210fdb95112a26a69c2f4fd7163</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2430817493/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2430817493?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,315,733,786,790,891,25783,27957,27958,37047,37048,44625,53827,53829,75483</link.rule.ids></links><search><creatorcontrib>Taphorn, Kirsten</creatorcontrib><creatorcontrib>De Marco, Fabio</creatorcontrib><creatorcontrib>Andrejewski, Jana</creatorcontrib><creatorcontrib>Sellerer, Thorsten</creatorcontrib><creatorcontrib>Pfeiffer, Franz</creatorcontrib><creatorcontrib>Herzen, Julia</creatorcontrib><title>Grating-based spectral X-ray dark-field imaging for correlation with structural size measures</title><title>Scientific reports</title><description>Abstract
X-ray dark-field (XDF) imaging accesses information on the small-angle scattering properties of the sample. With grating interferometry, the measured scattering signal is related to the sample’s autocorrelation function, which was previously demonstrated for simple samples, such as mono-dispersed microspheres for which the autocorrelation function is mathematically given. However, in potential clinical applications of XDF imaging, complex microstructures, such as lung parenchyma are under investigation. Their bahaviour in XDF imaging is not yet known and no mathematical description of the autocorrelation function is derived so far. In this work we demonstrate the previously established correlation of the XDF data of complex sample structures with their autocorrelation function to be impractical. 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By that, a connection between a medical measure for alveoli and XDF is achieved, which is particularly important regarding potential future XDF lung imaging applications for the assessment of alveoli size in diagnostic lung imaging.</description><subject>Alveoli</subject><subject>Emphysema</subject><subject>Energy</subject><subject>Lung diseases</subject><subject>Microspheres</subject><subject>Microstructure</subject><subject>Parenchyma</subject><subject>Spheres</subject><subject>X-rays</subject><issn>2045-2322</issn><issn>2045-2322</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><recordid>eNpdkV9LHTEQxYO0VLF-gT4F-tKXaCZ_NpuXQpFWBaEvFXyRkM1Orqt7N7fJbkU_vbleKbbzMgPzm8MZDiGfgB8Dl-1JUaBty7jgzHAOwOQeORBcaSakEO_ezPvkqJQ7XksLq8B-IPtSmEY1oA7IzVn28zCtWOcL9rRsMMzZj_SaZf9Ie5_vWRxw7Omw9qvK0ZgyDSlnHOtdmujDMN_SMuclzMv2sAxPSNfoy5KxfCTvox8LHr32Q3L14_uv03N2-fPs4vTbJQuKm5kFG2MbfaOCNtE0AlsB1qCySiNvfaeN7hQK4LHvrAYQXjS-sUFEFXsDjTwkX3e6m6VbYx9w2j7hNrm6zo8u-cH9u5mGW7dKf5xRAFybKvDlVSCn3wuW2a2HEnAc_YRpKU4oCS0oYdqKfv4PvUtLnup7W4q3YJSVlRI7KuRUSsb41wxwtw3Q7QJ0NUD3EqCT8hkhF41u</recordid><startdate>20200806</startdate><enddate>20200806</enddate><creator>Taphorn, Kirsten</creator><creator>De Marco, Fabio</creator><creator>Andrejewski, Jana</creator><creator>Sellerer, Thorsten</creator><creator>Pfeiffer, Franz</creator><creator>Herzen, Julia</creator><general>Nature Publishing Group</general><general>Nature Publishing Group UK</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88A</scope><scope>88E</scope><scope>88I</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M2P</scope><scope>M7P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20200806</creationdate><title>Grating-based spectral X-ray dark-field imaging for correlation with structural size measures</title><author>Taphorn, Kirsten ; 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X-ray dark-field (XDF) imaging accesses information on the small-angle scattering properties of the sample. With grating interferometry, the measured scattering signal is related to the sample’s autocorrelation function, which was previously demonstrated for simple samples, such as mono-dispersed microspheres for which the autocorrelation function is mathematically given. However, in potential clinical applications of XDF imaging, complex microstructures, such as lung parenchyma are under investigation. Their bahaviour in XDF imaging is not yet known and no mathematical description of the autocorrelation function is derived so far. In this work we demonstrate the previously established correlation of the XDF data of complex sample structures with their autocorrelation function to be impractical. Furthermore, we propose an applicable correlation between XDF and the sample’s structural parameter on the basis of mean chord length, a medically-approved measure for alveolar structure, known to be affected by structural lung diseases. Our findings reveal a correlation between energy-dependent XDF imaging and the sample’s mean chord length. By that, a connection between a medical measure for alveoli and XDF is achieved, which is particularly important regarding potential future XDF lung imaging applications for the assessment of alveoli size in diagnostic lung imaging.</abstract><cop>London</cop><pub>Nature Publishing Group</pub><pmid>32764614</pmid><doi>10.1038/s41598-020-70011-3</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Alveoli Emphysema Energy Lung diseases Microspheres Microstructure Parenchyma Spheres X-rays |
title | Grating-based spectral X-ray dark-field imaging for correlation with structural size measures |
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