Quantitative accuracy of virtual non-contrast images derived from spectral detector computed tomography: an abdominal phantom study

Abstract Dual-energy CT allows for the reconstruction of virtual non-contrast (VNC) images. VNC images have the potential to replace true non-contrast scans in various clinical applications. This study investigated the quantitative accuracy of VNC attenuation images considering different parameters...

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Autores principales:	Jasmin A. Holz, Hatem Alkadhi, Kai R. Laukamp, Simon Lennartz, Carola Heneweer, Michael Püsken, Thorsten Persigehl, David Maintz, Nils Große Hokamp
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/81f0202e06744078a645ad7f565330d5
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spelling	oai:doaj.org-article:81f0202e06744078a645ad7f565330d52021-12-02T11:43:51ZQuantitative accuracy of virtual non-contrast images derived from spectral detector computed tomography: an abdominal phantom study10.1038/s41598-020-78518-52045-2322https://doaj.org/article/81f0202e06744078a645ad7f565330d52020-12-01T00:00:00Zhttps://doi.org/10.1038/s41598-020-78518-5https://doaj.org/toc/2045-2322Abstract Dual-energy CT allows for the reconstruction of virtual non-contrast (VNC) images. VNC images have the potential to replace true non-contrast scans in various clinical applications. This study investigated the quantitative accuracy of VNC attenuation images considering different parameters for acquisition and reconstruction. An abdomen phantom with 7 different tissue types (different combinations of 3 base materials and 5 iodine concentrations) was scanned using a spectral detector CT (SDCT). Different phantom sizes (S, M, L), volume computed tomography dose indices (CTDIvol 10, 15, 20 mGy), kernel settings (soft, standard, sharp), and denoising levels (low, medium, high) were tested. Conventional and VNC images were reconstructed and analyzed based on regions of interest (ROI). Mean and standard deviation were recorded and differences in attenuation between corresponding base materials and VNC was calculated (VNCerror). Statistic analysis included ANOVA, Wilcoxon test and multivariate regression analysis. Overall, the VNCerror was − 1.4 ± 6.1 HU. While radiation dose, kernel setting, and denoising level did not influence VNCerror significantly, phantom size, iodine content and base material had a significant effect (e.g. S vs. M: − 1.2 ± 4.9 HU vs. − 2.1 ± 6.0 HU; 0.0 mg/ml vs. 5.0 mg/ml: − 4.0 ± 3.5 HU vs. 5.1 ± 5.0 HU and 35-HU-base vs. 54-HU-base: − 3.5 ± 4.4 HU vs. 0.7 ± 6.5; all p ≤ 0.05). The overall accuracy of VNC images from SDCT is high and independent from dose, kernel, and denoising settings; however, shows a dependency on patient size, base material, and iodine content; particularly the latter results in small, yet, noticeable differences in VNC attenuation.Jasmin A. HolzHatem AlkadhiKai R. LaukampSimon LennartzCarola HeneweerMichael PüskenThorsten PersigehlDavid MaintzNils Große HokampNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 10, Iss 1, Pp 1-8 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Jasmin A. Holz Hatem Alkadhi Kai R. Laukamp Simon Lennartz Carola Heneweer Michael Püsken Thorsten Persigehl David Maintz Nils Große Hokamp Quantitative accuracy of virtual non-contrast images derived from spectral detector computed tomography: an abdominal phantom study
description	Abstract Dual-energy CT allows for the reconstruction of virtual non-contrast (VNC) images. VNC images have the potential to replace true non-contrast scans in various clinical applications. This study investigated the quantitative accuracy of VNC attenuation images considering different parameters for acquisition and reconstruction. An abdomen phantom with 7 different tissue types (different combinations of 3 base materials and 5 iodine concentrations) was scanned using a spectral detector CT (SDCT). Different phantom sizes (S, M, L), volume computed tomography dose indices (CTDIvol 10, 15, 20 mGy), kernel settings (soft, standard, sharp), and denoising levels (low, medium, high) were tested. Conventional and VNC images were reconstructed and analyzed based on regions of interest (ROI). Mean and standard deviation were recorded and differences in attenuation between corresponding base materials and VNC was calculated (VNCerror). Statistic analysis included ANOVA, Wilcoxon test and multivariate regression analysis. Overall, the VNCerror was − 1.4 ± 6.1 HU. While radiation dose, kernel setting, and denoising level did not influence VNCerror significantly, phantom size, iodine content and base material had a significant effect (e.g. S vs. M: − 1.2 ± 4.9 HU vs. − 2.1 ± 6.0 HU; 0.0 mg/ml vs. 5.0 mg/ml: − 4.0 ± 3.5 HU vs. 5.1 ± 5.0 HU and 35-HU-base vs. 54-HU-base: − 3.5 ± 4.4 HU vs. 0.7 ± 6.5; all p ≤ 0.05). The overall accuracy of VNC images from SDCT is high and independent from dose, kernel, and denoising settings; however, shows a dependency on patient size, base material, and iodine content; particularly the latter results in small, yet, noticeable differences in VNC attenuation.
format	article
author	Jasmin A. Holz Hatem Alkadhi Kai R. Laukamp Simon Lennartz Carola Heneweer Michael Püsken Thorsten Persigehl David Maintz Nils Große Hokamp
author_facet	Jasmin A. Holz Hatem Alkadhi Kai R. Laukamp Simon Lennartz Carola Heneweer Michael Püsken Thorsten Persigehl David Maintz Nils Große Hokamp
author_sort	Jasmin A. Holz
title	Quantitative accuracy of virtual non-contrast images derived from spectral detector computed tomography: an abdominal phantom study
title_short	Quantitative accuracy of virtual non-contrast images derived from spectral detector computed tomography: an abdominal phantom study
title_full	Quantitative accuracy of virtual non-contrast images derived from spectral detector computed tomography: an abdominal phantom study
title_fullStr	Quantitative accuracy of virtual non-contrast images derived from spectral detector computed tomography: an abdominal phantom study
title_full_unstemmed	Quantitative accuracy of virtual non-contrast images derived from spectral detector computed tomography: an abdominal phantom study
title_sort	quantitative accuracy of virtual non-contrast images derived from spectral detector computed tomography: an abdominal phantom study
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/81f0202e06744078a645ad7f565330d5
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_version_	1718395352578523136

Quantitative accuracy of virtual non-contrast images derived from spectral detector computed tomography: an abdominal phantom study

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