Department of Radiology, Shandong Provincial Qianfoshan Hospital, The First Hospital Affiliated with Shandong First Medical University, Jinan, China.
Department of Radiology, Jinan Central Hospital Affiliated to Shandong First Medical University, Jinan, China.
J Cancer Res Ther. 2021 Dec;17(7):1742-1747. doi: 10.4103/jcrt.JCRT_1780_20.
To assess the image quality of the two adaptive statistical iterative reconstruction (ASiR and ASiR-V) algorithms for evaluating ground-glass nodules (GGNs) of the lung.
The chest phantom with ground-glass simulated pulmonary nodules was scanned by dual-energy spectral computed tomography (CT) using gemstone spectral imaging mode. The image was reconstructed with ASiR and ASiR-V from 0 (FBP) to 90% blending percentages, respectively. The average noise and signal-to-noise ratio (SNR) of reconstruction images were calculated. The data were statistically analyzed.
Compared with FBP, as the percentage of ASiR and ASiR-V increased from 10 to 90%, image noise reduced by 3.7%-45.2% and 14.1%-73.8%, respectively, and the SNR increased accordingly. There was significantly higher SNR value of ASiR-V images as the percentages of IR increased to 50% or greater, compared to those of ASiR. Subjective image quality scores of ASiR and ASiR-V improved significantly as percentage increased from 10 to 80% for ASiR and ASiR-V (peaked at 60% for both of them).
Both ASiR and ASiR-V can reduce the image noise and improve the objective image quality for presenting pulmonary nodules on dual-energy spectral CT imaging compared with FBP. ASiR-V provided further image quality improvement than ASiR, and both ASiR and ASiR-V 60% had the highest image quality score.
评估两种自适应统计迭代重建（ASiR 和 ASiR-V）算法在评估肺部磨玻璃结节（GGN）时的图像质量。
使用宝石能谱成像模式对具有磨玻璃模拟肺结节的胸部体模进行双能光谱 CT 扫描。使用 ASiR 和 ASiR-V 分别对从 0（FBP）到 90%的混合比例进行重建。计算重建图像的平均噪声和信噪比（SNR）。对数据进行统计学分析。
与 FBP 相比，随着 ASiR 和 ASiR-V 的比例从 10%增加到 90%，图像噪声分别降低了 3.7%-45.2%和 14.1%-73.8%，SNR 相应增加。随着 IR 比例增加到 50%或更高，ASiR-V 图像的 SNR 值明显高于 ASiR 图像。与 10%相比，ASiR 和 ASiR-V 的主观图像质量评分均随着比例从 10%增加到 80%而显著提高（两者均在 60%时达到峰值）。
与 FBP 相比，ASiR 和 ASiR-V 均可降低图像噪声，提高双能光谱 CT 成像中肺部结节的客观图像质量。ASiR-V 比 ASiR 提供了进一步的图像质量改善，而 ASiR 和 ASiR-V 的 60%都具有最高的图像质量评分。
