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DOI 10.1016/j.ejrad.2023.111110

Медицинская библиотека · European journal of radiology · 2023

Spectral photon-counting CT: Image quality evaluation using a metal-containing bovine bone specimen.

Björkman Ann-Sofi, Malusek Alexandr, Gauffin Håkan, Persson Anders, Koskinen Seppo K

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Аннотация

PURPOSE: To find the optimal imaging parameters for a photon-counting detector CT (PCD-CT) and to compare it to an energy-integrating detector CT (EID-CT) in terms of image quality and metal artefact severity using a metal-containing bovine knee specimen.

METHODS

A bovine knee with a stainless-steel plate and screws was imaged in a whole-body research PCD-CT at 120 kV and 140 kV and in an EID dual-source CT (DSCT) at Sn150 kV and 80/Sn150 kV. PCD-CT virtual monoenergetic 72 and 150 keV images and EID-CT images processed with and without metal artefact reduction algorithms (iMAR) were compared. Four radiologists rated the visualisation of bony structures and metal artefact severity. The Friedman test and Wilcoxon signed-rank test with Bonferroni's correction were used. P-values of ≤ 0.0001 were considered statistically significant. Distributions of HU values of regions of interest (ROIs) in artefact-affected areas were analysed.

RESULTS

PCD-CT 140 kV 150 keV images received the highest scores and were significantly better than EID-CT Sn150 kV images. PCD-CT 72 keV images were rated significantly lower than all the others. HU-value variation was larger in the 120 kV and the 72 keV images. The ROI analysis revealed no large difference between scanners regarding artefact severity.

CONCLUSION

PCD-CT 140 kV 150 keV images of a metal-containing bovine knee specimen provided the best image quality. They were superior to, or as good as, the best EID-CT images; even without the presumed advantage of tin filter and metal artefact reduction algorithms. PCD-CT is a promising method for reducing metal artefacts.

Для цитирования: Björkman Ann-Sofi, Malusek Alexandr, Gauffin Håkan, Persson Anders, Koskinen Seppo K. Spectral photon-counting CT: Image quality evaluation using a metal-containing bovine bone specimen.. European journal of radiology. 2023. DOI: 10.1016/j.ejrad.2023.111110.

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