Kidoh Masafumi, Utsunomiya Daisuke, Ikeda Osamu, Tamura Yoshitaka, Oda Seitaro, Funama Yoshinori, Yuki Hideaki, Nakaura Takeshi, Kawano Takayuki, Hirai Toshinori, Yamashita Yasuyuki
Department of Diagnostic Radiology, Faculty of Life Sciences, Kumamoto University, 1-1-1, Honjo, Kumamoto, 860-8556, Japan.
Department of Medical Physics, Faculty of Life Sciences, Kumamoto University, 1-1-1, Honjo, Kumamoto, 860-8556, Japan.
Eur Radiol. 2016 May;26(5):1378-86. doi: 10.1007/s00330-015-3950-6. Epub 2015 Aug 14.
We evaluated the effect of a single-energy metal artefact reduction (SEMAR) algorithm for metallic coil artefact reduction in body imaging.
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.
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).
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.
• 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.
我们评估了单能量金属伪影减少(SEMAR)算法在体部成像中减少金属线圈伪影的效果。
对30例植入金属线圈的患者(10例男性,20例女性;平均年龄67.9±11岁)进行计算机断层血管造影(CTA)检查。仅用迭代重建法重建非SEMAR图像,用迭代重建法加SEMAR算法重建SEMAR图像。我们比较了非SEMAR图像和SEMAR图像中金属线圈周围的图像噪声以及线圈伪影的最大直径。两名放射科医生使用四点量表对金属线圈伪影进行视觉评估:1 = 广泛;2 = 强烈;3 = 轻度;4 = 最小伪影。
SEMAR图像的图像噪声和伪影最大直径显著低于非SEMAR图像(分别为65.1±33.0 HU对29.7±10.3 HU;163.9±54.8 mm对10.3±19.0 mm;P < 0.001)。SEMAR技术获得了更好的视觉评分(3.4±0.6对1.0±0.0,P < 0.001)。
与非SEMAR算法相比,SEMAR算法显著减少了金属线圈引起的伪影。该技术可能会提高CT在评估线圈栓塞后并发症方面的性能。
• 新算法涉及基于原始数据和图像的重建技术。• 新算法减轻了体部CT图像上金属线圈的伪影。• 新算法显著减少了金属线圈引起的伪影。• 金属伪影减少算法提高了线圈栓塞后的CT图像质量。