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Photon-counting spectral basis component material decomposition for musculoskeletal radiographs

As a very fast and non-invasive examination, conventional X-ray radiography is well established as the first line diagnostic imaging method of the human bone system. While major bone injuries such as fractures and dislocations are usually easily detectable on conventional X-ray images, more subtle i...

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Autores principales: Beck, Stefanie, Sellerer, Thorsten, Mechlem, Korbinian, Bodden, Jannis, Meurer, Felix, Sauter, Andreas, Herzen, Julia, Pfeiffer, Franz, Pfeiffer, Daniela
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7431848/
https://www.ncbi.nlm.nih.gov/pubmed/32807855
http://dx.doi.org/10.1038/s41598-020-70363-w
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author Beck, Stefanie
Sellerer, Thorsten
Mechlem, Korbinian
Bodden, Jannis
Meurer, Felix
Sauter, Andreas
Herzen, Julia
Pfeiffer, Franz
Pfeiffer, Daniela
author_facet Beck, Stefanie
Sellerer, Thorsten
Mechlem, Korbinian
Bodden, Jannis
Meurer, Felix
Sauter, Andreas
Herzen, Julia
Pfeiffer, Franz
Pfeiffer, Daniela
author_sort Beck, Stefanie
collection PubMed
description As a very fast and non-invasive examination, conventional X-ray radiography is well established as the first line diagnostic imaging method of the human bone system. While major bone injuries such as fractures and dislocations are usually easily detectable on conventional X-ray images, more subtle injuries such as microfractures are often missed, leading to mistreatment and potential long-term consequences. The technology of Photon-Counting Dual-Energy Radiography (PCDER) yields the possibility to decompose conventional X-ray images into basis material images such as bone- and soft-tissue-equivalence images. The obtained basis material images offer significant advantages in terms of image contrast and image details over the raw attenuation image which shows an overlap of bone and soft tissue. Whereas the advantages of bone- and soft-tissue-equivalence images have been broadly discussed referring to bone subtraction images in the detection of pulmonary diseases, this method has not been considered for the analysis of musculoskeletal images until present. In this study we show that basis component equivalence images have high potential to improve the diagnostic accuracy of the detection of minor bone lesions during clinical trauma imaging. A reader study performed by three experienced radiologists compares the image quality of basis material images to a standard radiograph image of a non-fractured cadaveric hand.
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spelling pubmed-74318482020-08-21 Photon-counting spectral basis component material decomposition for musculoskeletal radiographs Beck, Stefanie Sellerer, Thorsten Mechlem, Korbinian Bodden, Jannis Meurer, Felix Sauter, Andreas Herzen, Julia Pfeiffer, Franz Pfeiffer, Daniela Sci Rep Article As a very fast and non-invasive examination, conventional X-ray radiography is well established as the first line diagnostic imaging method of the human bone system. While major bone injuries such as fractures and dislocations are usually easily detectable on conventional X-ray images, more subtle injuries such as microfractures are often missed, leading to mistreatment and potential long-term consequences. The technology of Photon-Counting Dual-Energy Radiography (PCDER) yields the possibility to decompose conventional X-ray images into basis material images such as bone- and soft-tissue-equivalence images. The obtained basis material images offer significant advantages in terms of image contrast and image details over the raw attenuation image which shows an overlap of bone and soft tissue. Whereas the advantages of bone- and soft-tissue-equivalence images have been broadly discussed referring to bone subtraction images in the detection of pulmonary diseases, this method has not been considered for the analysis of musculoskeletal images until present. In this study we show that basis component equivalence images have high potential to improve the diagnostic accuracy of the detection of minor bone lesions during clinical trauma imaging. A reader study performed by three experienced radiologists compares the image quality of basis material images to a standard radiograph image of a non-fractured cadaveric hand. Nature Publishing Group UK 2020-08-17 /pmc/articles/PMC7431848/ /pubmed/32807855 http://dx.doi.org/10.1038/s41598-020-70363-w Text en © The Author(s) 2020 Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Beck, Stefanie
Sellerer, Thorsten
Mechlem, Korbinian
Bodden, Jannis
Meurer, Felix
Sauter, Andreas
Herzen, Julia
Pfeiffer, Franz
Pfeiffer, Daniela
Photon-counting spectral basis component material decomposition for musculoskeletal radiographs
title Photon-counting spectral basis component material decomposition for musculoskeletal radiographs
title_full Photon-counting spectral basis component material decomposition for musculoskeletal radiographs
title_fullStr Photon-counting spectral basis component material decomposition for musculoskeletal radiographs
title_full_unstemmed Photon-counting spectral basis component material decomposition for musculoskeletal radiographs
title_short Photon-counting spectral basis component material decomposition for musculoskeletal radiographs
title_sort photon-counting spectral basis component material decomposition for musculoskeletal radiographs
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7431848/
https://www.ncbi.nlm.nih.gov/pubmed/32807855
http://dx.doi.org/10.1038/s41598-020-70363-w
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