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Creating a foundation for the visualization of intracranial cerebrospinal fluid using photon-counting technology in spectral imaging for cranial CT

Background: Recent advancements in computed tomography (CT), notably in photon-counting CT (PCCT), are revolutionizing the medical imaging field. PCCT’s spectral imaging can better visualize tissues based on their material properties. This research aims to establish a fundamental approach for the in...

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Hauptverfasser: Klempka, Anna (VerfasserIn) , Neumayer, Philipp (VerfasserIn) , Schröder, Alexander (VerfasserIn) , Ackermann, Eduardo (VerfasserIn) , Hetjens, Svetlana (VerfasserIn) , Clausen, Sven (VerfasserIn) , Groden, Christoph (VerfasserIn)
Dokumenttyp: Article (Journal)
Sprache:Englisch
Veröffentlicht: 14 November 2024
In: Diagnostics
Year: 2024, Jahrgang: 14, Heft: 22, Pages: 1-9
ISSN:2075-4418
DOI:10.3390/diagnostics14222551
Online-Zugang:Verlag, kostenfrei, Volltext: https://doi.org/10.3390/diagnostics14222551
Verlag, kostenfrei, Volltext: https://www.mdpi.com/2075-4418/14/22/2551
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Verfasserangaben:Anna Klempka, Philipp Neumayer, Alexander Schröder, Eduardo Ackermann, Svetlana Hetjens, Sven Clausen and Christoph Groden
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Zusammenfassung:Background: Recent advancements in computed tomography (CT), notably in photon-counting CT (PCCT), are revolutionizing the medical imaging field. PCCT’s spectral imaging can better visualize tissues based on their material properties. This research aims to establish a fundamental approach for the in vivo visualization of intracranial cerebrospinal fluid (CSF) using PCCT. Methods: PCCT was integrated to distinguish the CSF within the intracranial space with spectral imaging. In this study, we analyzed monoenergetic +67 keV reconstructions alongside virtual non-contrast and iodine phase images. This approach facilitated the assessment of the spectral characteristics of CSF in patients who did not present with intra-axial pathology or inflamation. Results: Our findings illustrate PCCT’s effectiveness in providing distinct and clear visualizations of intracranial CSF structures, building a foundation. The signal-to-noise ratio was quantified across all measurements, to check in image quality. Conclusions: PCCT serves as a robust, non-invasive platform for the detailed visualization of intracranial CSF. This technology is promising in enhancing diagnostic accuracy through different conditions.
Beschreibung:Gesehen am 24.04.2025
Beschreibung:Online Resource
ISSN:2075-4418
DOI:10.3390/diagnostics14222551

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