CT images of group A were reconstructed with SAFIRE at the reconstruction strength level of 3, while the datasets of group B were reconstructed with FBP. The reconstruction convolution kernels were I46f and B46f, respectively. All datasets were reconstructed with a slice thickness of 0.6 mm with an increment of 0.4 mm. All reconstruction datasets were analyzed on the Siemens Syngo multi-modality workplace (MMWP). The mean attenuation, signal to noise ratio (SNR), and stent-lumen attenuation increase ratio (SAIR) were recorded for both groups. The mean attenuation measurements were obtained from the aortic root, in-stent lumen (proximal, middle, and distal), and the coronary artery above the stent. The region of interest (ROI) size for aortic root was 2 cm
2 and the size of the in-stent ROI was drawn as large as possible while avoiding artifacts and occlusions. The image noise expressed as the standard deviation (SD) and in-stent SNR was calculated as in-stent attenuation or in-stent standard deviation (
8). The SAIR was calculated as (in-stent attenuation-coronary lumen attenuation) or coronary lumen attenuation (
9). The lesion assessment of stents included analysis of lumen obstruction, lumen plaque, plaque nature, and the degree of luminal stenosis. Subjective image quality scores were rated by a four-point scale (
10,
11) (1 = poor, 2 = moderate, 3 = good, 4 = excellent) and scores of 2 - 4 were considered as diagnostic image quality.
3.5. Statistical Analysis
Statistical analysis was performed on SPSS version 17.0 (SPSS Inc, Chicago, IL) and the mean attenuation, image noise, SNR, SAIR, and radiation dose were compared between group A and B by two independent sample t-tests. Moreover, to compare image quality scores and lesion assessment, we performed Wilcoxon signed rank test. P ≤ 0.05 was considered as a statistically significant difference.