摘要
目的验证管电压调节技术(CARE kV)和基于原始数据的迭代重建技术(sinoqram affivmd iterativere construction,SAFIRE)联合应用在胸部占位病变中能提高图像质量,同时减低受检者的辐射剂量。方法 90例肺部占位患者用Siemens SOMATOM Flash CT机行胸部CT增强扫描,分三组,组1:常规扫描条件,数据经传统的滤过反投影法(filtered back projetion,FBP)重建获取所需图像;组2、3CARE kV启用的扫描条件,参考管电流分别设为90mAs、80mAs,数据经SAFIRE重建获取所需图像;图像质量由两位独立的放射科医师采用双盲法进行评估5分法(其级由5分到1分,分别代表图像质量极好到无法满足诊断),密度及噪声由另一医师测量,计算图像的信噪比(SNR,signal to noise ratio)、对比噪声比(CNR,contrast to noise ratio)记录每例患者的基础信息。结果所有图像均满足诊断要求。组2、3平均容积剂量指数(CTDIvol)、有效放射剂量(effective dose,ED)均低于组1,CNR较组1高;组3放射剂量低于组2,CNR略低于组2。结论在胸部占位疾病中联合应用CARE kV和SAFIRE可满足诊断要求,减低受检者受照剂量,提高CT图像质量。
Objective To evaluate the potential of combined use of automated tube potential selection algorithm (CARE kV) and Sinogram Affirmed Iterative Reconstruction (SAFIRE) can not only meet the requirements of the diagnosis while improving image quality,but also reduce the radiation dose of patients.Methods 90 patients with lung mass were enrolled and divided into 3 groups randomly.Group 1 underwent routine scanning with 128-slice DSCT,and images were reconstructed with FBP; Group 2 and 3 underwent 128-slice DSCT examination using CARE kV with tube current of 90 mAs and 80 mAs,images were reconstructed with SAFIRE.Two blinded,independent radiologsts measured image quality on a five-point scale (5:excellent to 1:non-diagnostic).Image density and noise were measured,contrast-to-noise-ratio (CNR) was calculated,and the basic information of patients were recorded as well as operational radiation dose.Results All the images were diagnostic.The CNR of group 2,3 are higher compared with group 1 ; The effective radiation dose of group 2,3 are significantly lower than that of group 1.The CNR of group 3 a little louer compared with group 2 while the effective radiation dose of group 3 a little lower than group 2.Conclusion The combined application of both CARE kV and SAFIRE can improve image quality while reduce the radiation dose of patients.
出处
《医学影像学杂志》
2014年第3期456-460,共5页
Journal of Medical Imaging
关键词
体层摄影术
X线计算机
胸部
迭代重建
管电压自动调节
原始数据
放射剂量
图像质量
Tomography, X-ray computed
Thorax
Iterative reconstruction
Automated tube potential selection
Raw data
Radiation dose
Image quality