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Erschienen in: European Radiology 3/2014

01.03.2014 | Computed Tomography

Combining automated attenuation-based tube voltage selection and iterative reconstruction: a liver phantom study

verfasst von: Daniela B. Husarik, Sebastian T. Schindera, Fabian Morsbach, Natalie Chuck, Burkhardt Seifert, Zsolt Szucs-Farkas, Hatem Alkadhi

Erschienen in: European Radiology | Ausgabe 3/2014

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Abstract

Objectives

To determine the value of combined automated attenuation-based tube-potential selection and iterative reconstructions (IRs) for optimising computed tomography (CT) imaging of hypodense liver lesions.

Methods

A liver phantom containing hypodense lesions was imaged by CT with and without automated attenuation-based tube-potential selection (80, 100 and 120 kVp). Acquisitions were reconstructed with filtered back projection (FBP) and sinogram-affirmed IR. Image noise and contrast-to-noise ratio (CNR) were measured. Two readers marked lesion localisation and rated confidence, sharpness, noise and image quality on a five-point scale (1 = worst, 5 = best).

Results

Image noise was lower (31–52 %) and CNR higher (43–102 %) on IR than on FBP images at all tube voltages. On 100-kVp and 80-kVp IR images, confidence and sharpness were higher than on 120-kVp FBP images. Scores for image quality score and noise as well as sensitivity for 100-kVp IR were similar or higher than for 120-kVp FBP and lower for 80-kVp IR. Radiation dose was reduced by 26 % at 100 kVp and 56 % at 80 kVp.

Conclusions

Compared with 120-kVp FBP images, the combination of automated attenuation-based tube-potential selection at 100 kVp and IR provides higher image quality and improved sensitivity for detecting hypodense liver lesions in vitro at a dose reduced by 26 %.

Key Points

Combining automated tube voltage selection/iterative CT reconstruction improves image quality.
Attenuation values remain stable on IR compared with FBP images.
Lesion detection was highest on 100-kVp IR images.
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Metadaten
Titel
Combining automated attenuation-based tube voltage selection and iterative reconstruction: a liver phantom study
verfasst von
Daniela B. Husarik
Sebastian T. Schindera
Fabian Morsbach
Natalie Chuck
Burkhardt Seifert
Zsolt Szucs-Farkas
Hatem Alkadhi
Publikationsdatum
01.03.2014
Verlag
Springer Berlin Heidelberg
Erschienen in
European Radiology / Ausgabe 3/2014
Print ISSN: 0938-7994
Elektronische ISSN: 1432-1084
DOI
https://doi.org/10.1007/s00330-013-3049-x

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