Erschienen in:
14.08.2015 | Computed Tomography
Reduction of metallic coil artefacts in computed tomography body imaging: effects of a new single-energy metal artefact reduction algorithm
verfasst von:
Masafumi Kidoh, Daisuke Utsunomiya, Osamu Ikeda, Yoshitaka Tamura, Seitaro Oda, Yoshinori Funama, Hideaki Yuki, Takeshi Nakaura, Takayuki Kawano, Toshinori Hirai, Yasuyuki Yamashita
Erschienen in:
European Radiology
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Ausgabe 5/2016
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Abstract
Objectives
We evaluated the effect of a single-energy metal artefact reduction (SEMAR) algorithm for metallic coil artefact reduction in body imaging.
Methods
Computed tomography angiography (CTA) was performed in 30 patients with metallic coils (10 men, 20 women; mean age, 67.9 ± 11 years). Non-SEMAR images were reconstructed with iterative reconstruction alone, and SEMAR images were reconstructed with the iterative reconstruction plus SEMAR algorithms. We compared image noise around metallic coils and the maximum diameters of artefacts from coils between the non-SEMAR and SEMAR images. Two radiologists visually evaluated the metallic coil artefacts utilizing a four-point scale: 1 = extensive; 2 = strong; 3 = mild; 4 = minimal artefacts.
Results
The image noise and maximum diameters of the artefacts of the SEMAR images were significantly lower than those of the non-SEMAR images (65.1 ± 33.0 HU vs. 29.7 ± 10.3 HU; 163.9 ± 54.8 mm vs. 10.3 ± 19.0 mm, respectively; P < 0.001). Better visual scores were obtained with the SEMAR technique (3.4 ± 0.6 vs. 1.0 ± 0.0, P < 0.001).
Conclusions
The SEMAR algorithm significantly reduced artefacts caused by metallic coils compared with the non-SEMAR algorithm. This technique can potentially increase CT performance for the evaluation of post-coil embolization complications.
Key Points
• The new algorithm involves a raw data- and image-based reconstruction technique.
• The new algorithm mitigates artefacts from metallic coils on body CT images.
• The new algorithm significantly reduced artefacts caused by metallic coils.
• The metal artefact reduction algorithm improves CT image quality after coil embolization.