Abstract
Objectives
To compare the image quality of virtual monoenergetic images and polyenergetic images reconstructed from dual-layer detector CT angiography (DLCTA).
Methods
Thirty patients who underwent DLCTA of the head and neck were retrospectively identified and polyenergetic as well as virtual monoenergetic images (40 to 120 keV) were reconstructed. Signals (± SD) of the cervical and cerebral vessels as well as lateral pterygoid muscle and the air surrounding the head were measured to calculate the CNR and SNR. In addition, subjective image quality was assessed using a 5-point Likert scale. Student's t-test and Wilcoxon test were used to determine statistical significance.
Results
Compared to polyenergetic images, although noise increased with lower keV, CNR (p < 0.02) and SNR (p > 0.05) of the cervical, petrous and intracranial vessels were improved in virtual monoenergetic images at 40 keV and virtual monoenergetic images at 45 keV were also rated superior regarding vascular contrast, assessment of arteries close to the skull base and small arterial branches (p < 0.0001 each).
Conclusions
Compared to polyenergetic images, virtual monoenergetic images reconstructed from DLCTA at low keV ranging from 40 to 45 keV improve the objective and subjective image quality of extra- and intracranial vessels and facilitate assessment of vessels close to the skull base and of small arterial branches.
Key points
• Virtual monoenergetic images greatly improve attenuation, while noise only slightly increases.
• Virtual monoenergetic images show superior contrast-to-noise ratios compared to polyenergetic images.
• Virtual monoenergetic images significantly improve image quality at low keV.
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Abbreviations
- DECT:
-
dual-energy CT
- CNR:
-
contrast-to-noise ratio
- SNR:
-
signal-to-noise ratio
- keV:
-
kiloelectron volt
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The scientific guarantor of this publication is Victor Neuhaus.
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• retrospective
• cross-sectional study
• performed at one institution
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Neuhaus, V., Große Hokamp, N., Abdullayev, N. et al. Comparison of virtual monoenergetic and polyenergetic images reconstructed from dual-layer detector CT angiography of the head and neck. Eur Radiol 28, 1102–1110 (2018). https://doi.org/10.1007/s00330-017-5081-8
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DOI: https://doi.org/10.1007/s00330-017-5081-8