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| Coronary artery stent imaging using an integrated electronics detector and#br# different slice reconstructions: in vitro experience |
1. Department of Radiology, the First Affiliated Hospital of China Medical University, Shenyang 110001, China;
2. Career Department, Siemens Healthcare CT, Shenyang 110001, China |
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Abstract Objective: To assess the visualization improvement for different coronary stents especially ≤3 mm, using different image slice thickness reconstructed by integrated electronics. Methods: Eight different coronary stents with inner diameter of 3.5 mm, 3 mm and 2.5 mm were placed in plastic tubes filled with contrast agent(iohexol 350 mgI/mL) diluted with saline to make sure that the CT value of contrast was about 350 HU at 120 kVp. The whole phantom was then settled in an oil tank to mimic the pericardium fatty environment. All the CT scanning data was acquired using Siemens Definition Flash with a integrated electronics detector under prospective coronary CTA mode. Images were reconstructed into 0.5, 0.6 and 0.75 mm slice thickness. Two experienced radiologists blinded to each other evaluated the image quality, image noise, artificial lumen narrowing(ALN), lumial attenuation difference and attenuation-to-noise ratio(ANR). Results: Among the 3 groups, 0.5 mm images reconstructed were rated best for clearly showing the details of the stents and the inner-lumen situations(Kappa=0.797). The ALN value of 0.5 mm group was the lowest(40.69%±4.16%), and was superior to 0.6 and 0.75 mm groups(P=0.043, 0.018, P<0.05). But the differences of luminal attenuation and ANR among the three groups were not significant(P>0.05). With the increasing of the iterative reconstruction slice thickness, the image noise decreased, but the differences between 0.5 mm and 0.6 mm groups were not statistically significant(P>0.05). Conclusion: Stent visualization can be benefited from 0.5 mm slice thickness image for more accurate lumen narrowing assessment and lower image noise.
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Received: 26 November 2015
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Corresponding Authors:
DAI Xu
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