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主动脉 CT 血管造影剂量降低:联合低千伏时最佳噪声指数和迭代算法强度的研究。

Aortic CT angiography dose reduction: investigation of optimal noise index and iterative algorithm strength in combination with low kV.

机构信息

Medical Physics Unit, S.C. Fisica Sanitaria, A.O.U. Città della Salute e della Scienza di Torino, Corso Bramante 88, 10126, Turin, Italy.

Radiodiagnostic Department, S.C. Radiodiagnostica Ospedaliera, Corso Bramante 88, 10126, Turin, Italy.

出版信息

Radiol Med. 2016 Apr;121(4):291-300. doi: 10.1007/s11547-015-0611-4. Epub 2015 Dec 16.

Abstract

OBJECTIVE

The purpose of this study was to optimize an aorta angiographic CT protocol, by investigating the best combination of tube current modulation, iterative algorithm strength and kV reduction.

MATERIALS AND METHODS

Anthropomorphic phantoms of three sizes were imaged by CT with different values of noise index, of iterative algorithm ASIR percentages and kV in the range 80-120. Quantitative noise and contrast noise ratios were evaluated at different phantom locations. Three radiologists assessed the subjective image quality by comparing the image series with the one acquired with the reference protocol (120 kV, slice thickness 0.625, noise index 28, ASIR 40 %).

RESULTS

Although the highest CNR values were obtained for the 80 kV acquisitions, qualitative scores were higher for 100 and 120 kV at the same noise index. An optimized protocol was established with a NI of 39.2, ASIR 60%, 100 kV for small- and medium-sized patients and 120 kV for large-sized patients, with a dose reduction of 47%.

CONCLUSION

When different dose reduction parameters are available, anthropomorphic phantoms of different sizes help to find the optimal combination. For aorta studies, 100 kV with relative high values of noise indexes and iterative levels provides the best balance between dose reduction and image quality.

摘要

目的

本研究旨在通过研究管电流调制、迭代算法强度和 kV 降低的最佳组合,优化主动脉血管造影 CT 方案。

材料与方法

使用不同噪声指数、迭代算法 ASIR 百分比和 80-120kV 范围内的 kV 值对三个大小的人体模型进行 CT 成像。在不同的体模位置评估定量噪声和对比噪声比。三位放射科医生通过将图像系列与参考方案(120kV、层厚 0.625、噪声指数 28、ASIR 40%)获得的图像系列进行比较,评估主观图像质量。

结果

尽管在 80kV 采集时获得了最高的 CNR 值,但在相同的噪声指数下,100kV 和 120kV 的定性评分更高。在相同噪声指数下,确定了一个优化方案,NI 为 39.2、ASIR 为 60%、小体型和中型患者为 100kV、大型患者为 120kV,剂量降低 47%。

结论

当有不同的剂量降低参数时,不同大小的人体模型有助于找到最佳组合。对于主动脉研究,使用相对较高的噪声指数和迭代水平的 100kV 可在降低剂量和提高图像质量之间达到最佳平衡。

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