{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,11,3]],"date-time":"2026-11-03T08:39:26Z","timestamp":1793695166812,"version":"4.5.1"},"reference-count":71,"publisher":"IOP Publishing","issue":"15","license":[{"start":{"date-parts":[[2026,7,28]],"date-time":"2026-07-28T00:00:00Z","timestamp":1785196800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,7,28]],"date-time":"2026-07-28T00:00:00Z","timestamp":1785196800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/iopscience.iop.org\/info\/page\/text-and-data-mining"},{"start":{"date-parts":[[2026,7,28]],"date-time":"2026-07-28T00:00:00Z","timestamp":1785196800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/publishingsupport.iopscience.iop.org\/questions\/alternative-author-rights-policies\/"},{"start":{"date-parts":[[2026,7,28]],"date-time":"2026-07-28T00:00:00Z","timestamp":1785196800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/publishingsupport.iopscience.iop.org\/questions\/alternative-author-rights-policies\/"}],"funder":[{"name":"Maiores Foundation"}],"content-domain":{"domain":["iopscience.iop.org"],"crossmark-restriction":false},"short-container-title":["Phys. Med. Biol."],"published-print":{"date-parts":[[2026,8,14]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>\n                    <jats:italic>Objective.<\/jats:italic>\n                    X-ray dark-field imaging extends conventional radiography by capturing small-angle scattering from subresolution micro\/nanostructures, offering sensitivity to pathological changes that remain invisible in standard attenuation images, such as early microstructural alterations associated with pulmonary, oncological, and musculoskeletal diseases. Building on recent progress in single-grid dark-field imaging, we demonstrate that scattering-sensitive contrast can be acquired using a clinical x-ray source with a standard, non-coherent cone beam, under conditions representative of routine diagnostic imaging. The purpose of this study is to investigate the capabilities of single-grid dark-field radiography in the aforementioned setting involving various phantom materials and varying acrylic thicknesses as a surrogate for patient size, assessing key performance metrics to inform clinical translation.\n                    <jats:italic>Approach.<\/jats:italic>\n                    Single-grid dark-field images of a phantom containing various material samples inducing x-ray dark-field signal and varying acrylic layers used as simplified soft-tissue surrogates were acquired under common clinical x-ray parameters to evaluate dark-field contrast, spatial resolution, processing time, and dose. In addition, we proposed and provided an automated image processing pipeline for single-grid dark-field radiography, enabling the retrieval of nearly artefact-free images without manual parameter tuning once calibrated.\n                    <jats:italic>Main Results.<\/jats:italic>\n                    Using the acrylic phantoms, single-grid and single-shot dark-field radiography was shown to be feasible for thicknesses up to 10 cm, producing images with detectable dark-field contrast differences while maintaining an estimated effective dose\n                    <jats:inline-formula>\n                      <jats:tex-math>\n                        \n                      <\/jats:tex-math>\n                      <mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" overflow=\"scroll\">\n                        <mml:mrow>\n                          <mml:mo>&lt;<\/mml:mo>\n                        <\/mml:mrow>\n                      <\/mml:math>\n                    <\/jats:inline-formula>\n                    0.04 mSv. Our findings suggest that normalisation to a suitable reference sample, exhibiting a pronounced dark-field signal, represents a practical approach for enhancing measurement consistency in single-grid dark-field radiography when comparing data across different object positions or acquisition setups.\n                    <jats:italic>Significance.<\/jats:italic>\n                    Under clinically realistic imaging conditions, this study defines practical feasibility boundaries for single-grid dark-field radiography. These benchmarks provide guidance for pathological and specimen-based studies aimed at clinical translation of dark-field imaging as a complementary contrast channel in standard x-ray systems, with the potential to add diagnostically relevant subresolution information. In addition, pathways to further enhance dark-field contrast and address thickness-related limitations are highlighted, building on diagnostic benefits demonstrated in prior dark-field imaging studies.\n                  <\/jats:p>","DOI":"10.1088\/1361-6560\/ae8949","type":"journal-article","created":{"date-parts":[[2026,7,10]],"date-time":"2026-07-10T22:52:31Z","timestamp":1783723951000},"page":"155001","update-policy":"https:\/\/doi.org\/10.1088\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["Performance and feasibility of single-grid dark-field radiography with a clinical x-ray source"],"prefix":"10.1088","volume":"71","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7850-1786","authenticated-orcid":true,"given":"Werneri A","family":"Lindberg","sequence":"first","affiliation":[{"name":"ETH Z\u00fcrich"},{"name":"Center for x-ray Analytics"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ren\u00e9 M","family":"Rossi","sequence":"additional","affiliation":[{"name":"ETH Z\u00fcrich"},{"name":"Laboratory for Biomimetic Membranes and Textiles"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0811-7396","authenticated-orcid":true,"given":"Robert","family":"Zboray","sequence":"additional","affiliation":[{"name":"Center for x-ray Analytics"},{"name":"ARTORG Center, University of Bern"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"266","published-online":{"date-parts":[[2026,7,28]]},"reference":[{"key":"pmbae8949bib1","doi-asserted-by":"publisher","first-page":"1945","DOI":"10.1364\/OL.445802","type":"journal-article","article-title":"Tomographic phase and attenuation extraction for a sample composed of unknown materials using x-ray propagation-based phase-contrast imaging","volume":"47","author":"Alloo","year":"2022","journal-title":"Opt. 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