<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Spectral computed tomography (CT) imaging is one of several image reconstruction techniques based on the use of dual-layer CT. The intensity and attenuation of the radiation are measured in relation to different wavelengths, and such a procedure results in complex three-dimensional (3D) imaging and (pseudo) color adjustment of the soft tissue. This paper compares true non-contrast (TNC) enhanced images with virtual non-contrast (VNC) enhanced ones. Virtual native images are acquired by means of spectral computed tomography, and it has been suggested that VNCs could potentially substitute real native images to reduce significantly the total radiation dose from multiphase spectral CT. A comparison was performed by defining certain parameters that represent the difference between the measured and the calculated values in the images. The parameters included the mean value and standard deviation of the computed tomography number, signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR). All of these items were analyzed via statistical tests using <italic>p</italic>-value. The results are interpreted and correlated with those presented by other authors, who, however, did not make an examination on a comprehensive basis - five tissues simultaneously by using a single device. Prospectively, if analogies were found between the two types of images, it would be possible to skip the TNC image, thus markedly reducing the radiation dose for the patient.</p>
</abstract>

Spectral computed tomography (CT) imaging is one of several image reconstruction techniques based on the use of dual-layer CT. The intensity and attenuation of the radiation are measured in relation to different wavelengths, and such a procedure results in complex three-dimensional (3D) imaging and (pseudo) color adjustment of the soft tissue. This paper compares true non-contrast (TNC) enhanced images with virtual non-contrast (VNC) enhanced ones. Virtual native images are acquired by means of spectral computed tomography, and it has been suggested that VNCs could potentially substitute real native images to reduce significantly the total radiation dose from multiphase spectral CT. A comparison was performed by defining certain parameters that represent the difference between the measured and the calculated values in the images. The parameters included the mean value and standard deviation of the computed tomography number, signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR). All of these items were analyzed via statistical tests using p-value. The results are interpreted and correlated with those presented by other authors, who, however, did not make an examination on a comprehensive basis - five tissues simultaneously by using a single device. Prospectively, if analogies were found between the two types of images, it would be possible to skip the TNC image, thus markedly reducing the radiation dose for the patient.

Dual-Energy Spectral Computed Tomography: Comparing True and Virtual Non Contrast Enhanced Images

University Hospital Brno and Masaryk University

Department of Radiology and Nuclear Medicine

Measurement Science Review

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Spectral computed tomography (CT) imaging is one of several image reconstruction techniques based on the use of dual-layer CT. The intensity and attenuation of...

Dual-Energy Spectral Computed Tomography: Comparing True and Virtual Non Contrast Enhanced Images

Online veröffentlicht: 13. Okt. 2022

Seitenbereich: 261 - 268

Eingereicht: 29. Dez. 2021

Akzeptiert: 04. Juli 2022

DOI: https://doi.org/10.2478/msr-2022-0033

Schlüsselwörter
Biomedical data analysis, CNR, dual-layer, SNR, spectral computed tomography, statistical analysis

© 2022 Kateřina Širůčková et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Dual-Energy Spectral Computed Tomography: Comparing True and Virtual Non Contrast Enhanced Images

Online veröffentlicht: 13. Okt. 2022

Seitenbereich: 261 - 268

Eingereicht: 29. Dez. 2021

Akzeptiert: 04. Juli 2022

DOI: https://doi.org/10.2478/msr-2022-0033

SchlüsselwörterBiomedical data analysis, CNR, dual-layer, SNR, spectral computed tomography, statistical analysis

© 2022 Kateřina Širůčková et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Schlüsselwörter
Biomedical data analysis, CNR, dual-layer, SNR, spectral computed tomography, statistical analysis