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Retrieval of 3D information in X-ray dark-field imaging with a large field of view

Andrejewski, Jana; De Marco, Fabio; Willer, Konstantin; Noichl, Wolfgang; Urban, Theresa; Frank, Manuela; Gustschin, Alex; Meyer, Pascal; Koehler, Thomas; Pfeiffer, Franz; Herzen, Julia

Abstract (englisch):

X-ray dark-field imaging is a widely researched imaging technique, with many studies on samples of very different dimensions and at very different resolutions. However, retrieval of three-dimensional (3D) information for human thorax sized objects has not yet been demonstrated. We present a method, similar to classic tomography and tomosynthesis, to obtain 3D information in X-ray dark-field imaging. Here, the sample is moved through the divergent beam of a Talbot–Lau interferometer. Projections of features at different distances from the source seemingly move with different velocities over the detector, due to the cone beam geometry. The reconstruction of different focal planes exploits this effect. We imaged a chest phantom and were able to locate different features in the sample (e.g. the ribs, and two sample vials filled with water and air and placed in the phantom) to corresponding focal planes. Furthermore, we found that image quality and detectability of features is sufficient for image reconstruction with a dose of 68 μSv at an effective pixel size of 0.357×0.357mm2. Therefore, we successfully demonstrated that the presented method is able to retrieve 3D information in X-ray dark-field imaging.


Verlagsausgabe §
DOI: 10.5445/IR/1000140935
Veröffentlicht am 08.12.2021
Originalveröffentlichung
DOI: 10.1038/s41598-021-02960-2
Scopus
Zitationen: 1
Dimensions
Zitationen: 3
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Mikrostrukturtechnik (IMT)
Publikationstyp Zeitschriftenaufsatz
Publikationsmonat/-jahr 12.2021
Sprache Englisch
Identifikator ISSN: 2045-2322
KITopen-ID: 1000140935
HGF-Programm 43.35.01 (POF IV, LK 01) Platform for Correlative, In Situ & Operando Charakterizat.
Erschienen in Scientific reports
Verlag Nature Research
Band 11
Seiten ArtNr.: 23504
Vorab online veröffentlicht am 06.12.2021
Schlagwörter Proposal-Nr. 2016-015-010729, Technologien: DLW, EBL, XRL
Nachgewiesen in Web of Science
Dimensions
Scopus
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