摘要
目的:探讨利用最佳对比噪声比(CNR)选择最理想的单能量图像在下肢动脉CT血管造影(CTA)中的应用。方法:回顾性分析进行宝石能源CT检查的68例下肢动脉病变(PAD)患者的CTA图像资料。所有患者采用宝石能谱CT仪进行扫描,以ADW4.4工作站和GSI-view软件进行图像后处理,分别获得质量控制图像,系统默认keV值单能量图像以及利用最佳CNR获得的单能量图像。比较质量控制、系统默认keV及最佳CNR获得的CT图像质量、噪声和对比度。结果:利用最佳CNR得到CTA的单能量平均值(51.34±6.81)keV。68例患者共获得637段下肢动脉段,利用最佳CNR得到的keV值单能量图像质量平均分值、对比度和噪声均高于得到的图像,差异有统计学意义。结论:利用最佳CNR获得keV值单能量图像,可提高下肢动脉显示的清晰度,提高CTA图像质量。
Objective： To discuss the application values of using optimal contrast/noise ratio（CNR） to select the optimal single energy image in computed tomography angiography（CTA） for peripheral arteries. Methods： The CTA data of 68 patients with peripheral arterial disease（PAD） once were detected by GE Discovery CT750 HD gemstone spectral CT were researched by using retrospective analysis and all of patients were scanned by using gemstone spectral CT. The images postprocessing were implemented by ADW4.4 workstation and GSI-view software, and then quality control image, single energy image of the default keV value and single energy image that got from optimal CNR were obtained, respectively. Further, the image quality, noise and contrast of these CT images were compared. Results： The mean value of CTA by using optimal CNR was（51.34±6.81）keV. And 637 segments peripheral arterials of 68 patients were obtained, and the average score of single energy image quality of keV value, contrast and noise that obtained from optimal CNR were significantly higher than those obtained image. Conclusion： It＇s suggestion that the single energy image of keV value based on the optimal CNR can improve the sharpness of displaying peripheral arteries, and enhance image quality of CTA.
作者
王凌翔
廖国芬
杨洋平
WANG Ling-xiang;LIAO Guo-fen;YANG Yang-ping(Department of Ultrasound and Electrocardiology,Chongzhou Branch of People＇s Hospital of Chongzhou City,Chongzhou 611230,China.)
出处
《中国医学装备》
2018年第8期24-27,共4页
China Medical Equipment
关键词
对比噪声比
下肢动脉病变
CT血管成像
宝石能谱CT
图像质量
Contrast/noise ratio （CNR）
Peripheral arterial disease （PAD）
Computed tomography angiography（CTA）
Gemstone spectral computed tomography
Image quality
