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Coronary stent artifact reduction with an edge-enhancing reconstruction kernel : a prospective cross-sectional study with 256-slice CT

Stéphanie Tan, Gilles Soulez, Patricia Diez Martinez, Sandra Larrivée, Louis-Mathieu Stevens, Yves Goussard, Samer Mansour and Carl Chartrand-Lefebvre

Article (2016)

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Purpose Metallic artifacts can result in an artificial thickening of the coronary stent wall which can significantly impair computed tomography (CT) imaging in patients with coronary stents. The objective of this study is to assess in vivo visualization of coronary stent wall and lumen with an edge-enhancing CT reconstruction kernel, as compared to a standard kernel.

Methods This is a prospective cross-sectional study involving the assessment of 71 coronary stents (24 patients), with blinded observers. After 256-slice CT angiography, image reconstruction was done with medium-smooth and edge-enhancing kernels. Stent wall thickness was measured with both orthogonal and circumference methods, averaging thickness from diameter and circumference measurements, respectively. Image quality was assessed quantitatively using objective parameters (noise, signal to noise (SNR) and contrast to noise (CNR) ratios), as well as visually using a 5-point Likert scale.

Results Stent wall thickness was decreased with the edge-enhancing kernel in comparison to the standard kernel, either with the orthogonal (0.97 ± 0.02 versus 1.09 ± 0.03 mm, respectively; p<0.001) or the circumference method (1.13 ± 0.02 versus 1.21 ± 0.02 mm, respectively; p = 0.001). The edge-enhancing kernel generated less overestimation from nominal thickness compared to the standard kernel, both with the orthogonal (0.89 ± 0.19 versus 1.00 ± 0.26 mm, respectively; p<0.001) and the circumference (1.06 ± 0.26 versus 1.13 ± 0.31 mm, respectively; p = 0.005) methods. The edge-enhancing kernel was associated with lower SNR and CNR, as well as higher background noise (all p < 0.001), in comparison to the medium-smooth kernel. Stent visual scores were higher with the edge-enhancing kernel (p<0.001).

Conclusion In vivo 256-slice CT assessment of coronary stents shows that the edge-enhancing CT reconstruction kernel generates thinner stent walls, less overestimation from nominal thickness, and better image quality scores than the standard kernel.

Subjects: 2500 Electrical and electronic engineering > 2500 Electrical and electronic engineering
9000 Health sciences > 9000 Health sciences
Department: Department of Electrical Engineering
Funders: Fonds de recherche du Québec - Santé (FRQS), Faculty Support Program of the Radiology Department - University of Montreal
Grant number: 14261
PolyPublie URL: https://publications.polymtl.ca/3073/
Journal Title: PLOS One (vol. 11, no. 4)
Publisher: PLOS
DOI: 10.1371/journal.pone.0154292
Official URL: https://doi.org/10.1371/journal.pone.0154292
Date Deposited: 04 May 2018 16:26
Last Modified: 06 Apr 2024 23:49
Cite in APA 7: Tan, S., Soulez, G., Diez Martinez, P., Larrivée, S., Stevens, L.-M., Goussard, Y., Mansour, S., & Chartrand-Lefebvre, C. (2016). Coronary stent artifact reduction with an edge-enhancing reconstruction kernel : a prospective cross-sectional study with 256-slice CT. PLOS One, 11(4), e0154292-e0154305. https://doi.org/10.1371/journal.pone.0154292


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