Objective: To investigate the efficacy of bore algorithms combined with adaptive statistical iterative reconstruction-V (ASIR-V) in coronary stent imaging. Methods: A total of 42 patients with coronary stent implantation in our hospital were enrolled during December 2020 to March 2021. All 42 patients underwent CCTA (coronary computed tomography angiography) reexaminations using GE Revolution CT machine. The standard algorithm(Stand) and bone algorithm(Bone) were used to reconstruct the original data, combined with the iterative reorganization technology ASIR-V weight (30%, 60%). So there were four groups images, including S30 (Stand-30%)、S60 (Stand-60%)、B30 (Bone-30%) and B60 (Bone-60%). The image quality of four groups (S30/S60, B30/B60, S30/B30 and S60/B60) was evaluated by subjective (liket5 score method) and objective (quantitative measurement of image signal-to-noise ratio, contrast-to-noise ratio, and difference in CT value between stent lumen and descending aorta), respectively. Results: In terms of subjective evaluation, the scores of S30, S60 were 3.54±0.60, 3.51±0.60, which were much lower than those of B30, and B60 (4.15±0.67, 4.49±0.56), respectively. There was significant difference between B60 and B30 in the bone algorithm group(P<0.05), but there was no significant difference between S60 and S30 in standard algorithm group (P>0.05). In terms of objective evaluation, S60 had the highest scores (SNR: 18.3±2.56, CNR: 26.3±6.35). For CT difference values between stent lumen and descending aorta, there was no significant difference between S30 and S60, and between B30 and B60(P>0.05), while there was significant difference between S30 and B30, S60 and B60(P<0.05), and the difference of B60 was the least (36.41±79.37). Conclusions: Bone algorithm combined with the ASIR-V weight of 60% is conducive to display of the coronary stent lumen and stent wall, and may provide higher quality images for the clinical practice.