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Dark-field computed tomography reaches the human scale

X-ray computed tomography (CT) is one of the most commonly used three-dimensional medical imaging modalities today. It has been refined over several decades, with the most recent innovations including dual-energy and spectral photon-counting technologies. Nevertheless, it has been discovered that wa...

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Autores principales: Viermetz, Manuel, Gustschin, Nikolai, Schmid, Clemens, Haeusele, Jakob, von Teuffenbach, Maximilian, Meyer, Pascal, Bergner, Frank, Lasser, Tobias, Proksa, Roland, Koehler, Thomas, Pfeiffer, Franz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8872773/
https://www.ncbi.nlm.nih.gov/pubmed/35131900
http://dx.doi.org/10.1073/pnas.2118799119
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author Viermetz, Manuel
Gustschin, Nikolai
Schmid, Clemens
Haeusele, Jakob
von Teuffenbach, Maximilian
Meyer, Pascal
Bergner, Frank
Lasser, Tobias
Proksa, Roland
Koehler, Thomas
Pfeiffer, Franz
author_facet Viermetz, Manuel
Gustschin, Nikolai
Schmid, Clemens
Haeusele, Jakob
von Teuffenbach, Maximilian
Meyer, Pascal
Bergner, Frank
Lasser, Tobias
Proksa, Roland
Koehler, Thomas
Pfeiffer, Franz
author_sort Viermetz, Manuel
collection PubMed
description X-ray computed tomography (CT) is one of the most commonly used three-dimensional medical imaging modalities today. It has been refined over several decades, with the most recent innovations including dual-energy and spectral photon-counting technologies. Nevertheless, it has been discovered that wave-optical contrast mechanisms—beyond the presently used X-ray attenuation—offer the potential of complementary information, particularly on otherwise unresolved tissue microstructure. One such approach is dark-field imaging, which has recently been introduced and already demonstrated significantly improved radiological benefit in small-animal models, especially for lung diseases. Until now, however, dark-field CT could not yet be translated to the human scale and has been restricted to benchtop and small-animal systems, with scan durations of several minutes or more. This is mainly because the adaption and upscaling to the mechanical complexity, speed, and size of a human CT scanner so far remained an unsolved challenge. Here, we now report the successful integration of a Talbot–Lau interferometer into a clinical CT gantry and present dark-field CT results of a human-sized anthropomorphic body phantom, reconstructed from a single rotation scan performed in 1 s. Moreover, we present our key hardware and software solutions to the previously unsolved roadblocks, which so far have kept dark-field CT from being translated from the optical bench into a rapidly rotating CT gantry, with all its associated challenges like vibrations, continuous rotation, and large field of view. This development enables clinical dark-field CT studies with human patients in the near future.
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spelling pubmed-88727732022-02-25 Dark-field computed tomography reaches the human scale Viermetz, Manuel Gustschin, Nikolai Schmid, Clemens Haeusele, Jakob von Teuffenbach, Maximilian Meyer, Pascal Bergner, Frank Lasser, Tobias Proksa, Roland Koehler, Thomas Pfeiffer, Franz Proc Natl Acad Sci U S A Physical Sciences X-ray computed tomography (CT) is one of the most commonly used three-dimensional medical imaging modalities today. It has been refined over several decades, with the most recent innovations including dual-energy and spectral photon-counting technologies. Nevertheless, it has been discovered that wave-optical contrast mechanisms—beyond the presently used X-ray attenuation—offer the potential of complementary information, particularly on otherwise unresolved tissue microstructure. One such approach is dark-field imaging, which has recently been introduced and already demonstrated significantly improved radiological benefit in small-animal models, especially for lung diseases. Until now, however, dark-field CT could not yet be translated to the human scale and has been restricted to benchtop and small-animal systems, with scan durations of several minutes or more. This is mainly because the adaption and upscaling to the mechanical complexity, speed, and size of a human CT scanner so far remained an unsolved challenge. Here, we now report the successful integration of a Talbot–Lau interferometer into a clinical CT gantry and present dark-field CT results of a human-sized anthropomorphic body phantom, reconstructed from a single rotation scan performed in 1 s. Moreover, we present our key hardware and software solutions to the previously unsolved roadblocks, which so far have kept dark-field CT from being translated from the optical bench into a rapidly rotating CT gantry, with all its associated challenges like vibrations, continuous rotation, and large field of view. This development enables clinical dark-field CT studies with human patients in the near future. National Academy of Sciences 2022-02-07 2022-02-22 /pmc/articles/PMC8872773/ /pubmed/35131900 http://dx.doi.org/10.1073/pnas.2118799119 Text en Copyright © 2022 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by/4.0/This open access article is distributed under Creative Commons Attribution License 4.0 (CC BY) (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Physical Sciences
Viermetz, Manuel
Gustschin, Nikolai
Schmid, Clemens
Haeusele, Jakob
von Teuffenbach, Maximilian
Meyer, Pascal
Bergner, Frank
Lasser, Tobias
Proksa, Roland
Koehler, Thomas
Pfeiffer, Franz
Dark-field computed tomography reaches the human scale
title Dark-field computed tomography reaches the human scale
title_full Dark-field computed tomography reaches the human scale
title_fullStr Dark-field computed tomography reaches the human scale
title_full_unstemmed Dark-field computed tomography reaches the human scale
title_short Dark-field computed tomography reaches the human scale
title_sort dark-field computed tomography reaches the human scale
topic Physical Sciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8872773/
https://www.ncbi.nlm.nih.gov/pubmed/35131900
http://dx.doi.org/10.1073/pnas.2118799119
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