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Dual-energy CT in cardiothoracic imaging: current developments

This article describes the technical principles and clinical applications of dual-energy computed tomography (DECT) in the context of cardiothoracic imaging with a focus on current developments and techniques. Since the introduction of DECT, different vendors developed distinct hard and software app...

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Hauptverfasser: Alizadeh, Leona Soraja (VerfasserIn) , Vogl, Thomas J. (VerfasserIn) , Waldeck, Stephan S. (VerfasserIn) , Overhoff, Daniel (VerfasserIn) , D’Angelo, Tommaso (VerfasserIn) , Martin, Simon (VerfasserIn) , Yel, Ibrahim (VerfasserIn) , Grünewald, Leon David (VerfasserIn) , Koch, Vitali (VerfasserIn) , Fulisch, Florian (VerfasserIn) , Booz, Christian (VerfasserIn)
Dokumenttyp: Article (Journal)
Sprache:Englisch
Veröffentlicht: 19 June 2023
In: Diagnostics
Year: 2023, Jahrgang: 13, Heft: 12, Pages: 1-21
ISSN:2075-4418
DOI:10.3390/diagnostics13122116
Online-Zugang:Verlag, kostenfrei, Volltext: https://doi.org/10.3390/diagnostics13122116
Verlag, kostenfrei, Volltext: https://www.mdpi.com/2075-4418/13/12/2116
Volltext
Verfasserangaben:Leona S. Alizadeh, Thomas J. Vogl, Stephan S. Waldeck, Daniel Overhoff, Tommaso D’Angelo, Simon S. Martin, Ibrahim Yel, Leon D. Gruenewald, Vitali Koch, Florian Fulisch and Christian Booz
Beschreibung
Zusammenfassung:This article describes the technical principles and clinical applications of dual-energy computed tomography (DECT) in the context of cardiothoracic imaging with a focus on current developments and techniques. Since the introduction of DECT, different vendors developed distinct hard and software approaches for generating multi-energy datasets and multiple DECT applications that were developed and clinically investigated for different fields of interest. Benefits for various clinical settings, such as oncology, trauma and emergency radiology, as well as musculoskeletal and cardiovascular imaging, were recently reported in the literature. State-of-the-art applications, such as virtual monoenergetic imaging (VMI), material decomposition, perfused blood volume imaging, virtual non-contrast imaging (VNC), plaque removal, and virtual non-calcium (VNCa) imaging, can significantly improve cardiothoracic CT image workflows and have a high potential for improvement of diagnostic accuracy and patient safety.
Beschreibung:Gesehen am 16.05.2024
Beschreibung:Online Resource
ISSN:2075-4418
DOI:10.3390/diagnostics13122116

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