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Retrieval of 3D information in X-ray dark-field imaging with a large field of view
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,...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8648862/ https://www.ncbi.nlm.nih.gov/pubmed/34873265 http://dx.doi.org/10.1038/s41598-021-02960-2 |
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author | Andrejewski, Jana De Marco, Fabio Willer, Konstantin Noichl, Wolfgang Urban, Theresa Frank, Manuela Gustschin, Alex Meyer, Pascal Koehler, Thomas Pfeiffer, Franz Herzen, Julia |
author_facet | Andrejewski, Jana De Marco, Fabio Willer, Konstantin Noichl, Wolfgang Urban, Theresa Frank, Manuela Gustschin, Alex Meyer, Pascal Koehler, Thomas Pfeiffer, Franz Herzen, Julia |
author_sort | Andrejewski, Jana |
collection | PubMed |
description | 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 [Formula: see text] . Therefore, we successfully demonstrated that the presented method is able to retrieve 3D information in X-ray dark-field imaging. |
format | Online Article Text |
id | pubmed-8648862 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-86488622021-12-08 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 Sci Rep Article 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 [Formula: see text] . Therefore, we successfully demonstrated that the presented method is able to retrieve 3D information in X-ray dark-field imaging. Nature Publishing Group UK 2021-12-06 /pmc/articles/PMC8648862/ /pubmed/34873265 http://dx.doi.org/10.1038/s41598-021-02960-2 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Andrejewski, Jana De Marco, Fabio Willer, Konstantin Noichl, Wolfgang Urban, Theresa Frank, Manuela Gustschin, Alex Meyer, Pascal Koehler, Thomas Pfeiffer, Franz Herzen, Julia Retrieval of 3D information in X-ray dark-field imaging with a large field of view |
title | Retrieval of 3D information in X-ray dark-field imaging with a large field of view |
title_full | Retrieval of 3D information in X-ray dark-field imaging with a large field of view |
title_fullStr | Retrieval of 3D information in X-ray dark-field imaging with a large field of view |
title_full_unstemmed | Retrieval of 3D information in X-ray dark-field imaging with a large field of view |
title_short | Retrieval of 3D information in X-ray dark-field imaging with a large field of view |
title_sort | retrieval of 3d information in x-ray dark-field imaging with a large field of view |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8648862/ https://www.ncbi.nlm.nih.gov/pubmed/34873265 http://dx.doi.org/10.1038/s41598-021-02960-2 |
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