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: | , , , , , , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
14 November 2024
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| 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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| 520 | |a 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. | ||
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