The potential of high-Z contrast media for vessel visualization near metal implants: a photon-counting detector CT phantom study with virtual monoenergetic images and iterative metal artifact reduction

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Authors: Konstantin Klambauer, Tristan T. Demmert, Lukas Jakob Moser, Victor Mergen, Tara-Cheyenne Senn, Beate Kolb, Matthias Eberhard, Gregor Jošt, Hubertus Pietsch, Hatem Alkadhi, Thomas G. Flohr
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Abstract

Background: Metal artifacts in computed tomography (CT) can be reduced with high energy virtual monoenergetic images (VMI) and iterative metal artifact reduction (IMAR) algorithms. At high VMI energies, however, iodinated contrast media show decreased attenuation. High atomic number (high-Z) contrast media potentially preserve vessel contrast near metal implants even at high VMI energies. Hence, the purpose of this study was to assess the effect of high-Z contrast media on vessel visualization near metal implants in photon-counting detector (PCD)-CT across VMI energies, with and without IMAR and for different metal types. Methods: A pelvis phantom containing titanium or steel inserts and contrast media inserts including iodine, bismuth, holmium, or tungsten was scanned using photon-counting detector computed tomography (PCD-CT). VMI (40-190 keV, 1 keV steps) were reconstructed with and without IMAR. Three predefined regions of interest (ROI) were placed in the background (background noise, standard deviation of HU), in the contrast media inserts (vessel attenuation, mean HU), and between the metal and contrast inserts (metal artifacts, defined as standard deviation of HU). An artifact-adjusted contrast-to-noise ratio (CNR) was calculated using background noise, vessel attenuation and metal artifacts, and averaged across three VMI energy ranges: 40-90, 90-140, and 140-190 keV. Peak CNR was the maximum value across all VMI energies. Wilcoxon rank sum tests with Benjamini-Hochberg correction were applied. Results: Metal artifacts decreased with increasing VMI energy (P

Fields of Study & Subjects

Advanced X-ray and CT Imaging Cardiac Imaging and Diagnostics Medical Imaging Techniques and Applications

Publication details

Journal / source
Quantitative Imaging in Medicine and Surgery
Volume
16
Issue
3
Pages
215–215
Publication date
13 February 2026
Language
EN