首页> 外文期刊>European Journal of Radiology >3D automatic exposure control for 64-detector row CT: radiation dose reduction in chest phantom study.
【24h】

3D automatic exposure control for 64-detector row CT: radiation dose reduction in chest phantom study.

机译:64排CT的3D自动曝光控制:胸部幻影研究中的辐射剂量减少。

获取原文
获取原文并翻译 | 示例
           

摘要

PURPOSE: The purpose of this study was to determine the utility of three-dimensional (3D) automatic exposure control (AEC) for low-dose CT examination in a chest phantom study. MATERIALS AND METHODS: A chest CT phantom including simulated focal ground-glass opacities (GGOs) and nodules was scanned with a 64-detector row CT with and without AEC. Performance of 3D AEC included changing targeted standard deviations (SDs) of image noise from scout view. To determine the appropriate targeted SD number for identification, the capability of overall identification with the CT protocol adapted to each of the targeted SDs was compared with that obtained with CT without AEC by means of receiver operating characteristic analysis. RESULTS: When targeted SD values equal to or higher than 250 were used, areas under the curve (Azs) of nodule identification with CT protocol using AEC were significantly smaller than that for CT protocol without AEC (p < 0.05). When targeted SD numbers at equal to or more than 180 were adapted, Azs of CT protocol with AEC had significantly smaller than that without AEC (p < 0.05). CONCLUSION: This phantom study shows 3D AEC is useful for low-dose lung CT examination, and can reduce the radiation dose while maintaining good identification capability and good image quality.
机译:目的:本研究的目的是确定三维(3D)自动暴露控制(AEC)在胸部幻象研究中用于低剂量CT检查的效用。材料与方法:用带和不带AEC的64排CT扫描包括模拟焦玻璃样混浊(GGO)和结节在内的胸部CT体模。 3D AEC的性能包括从侦察兵视角更改图像噪声的目标标准偏差(SD)。为了确定合适的目标SD编号进行识别,通过接收器工作特性分析,将适用于每个目标SD的CT协议的整体识别能力与不带AEC的CT获得的识别能力进行了比较。结果:当使用等于或高于250的目标SD值时,使用AEC的CT方案在结节鉴别曲线下的曲线下面积(Azs)明显小于没有AEC的CT方案(p <0.05)。当采用等于或大于180的目标SD值时,具有AEC的CT方案的Azs显着小于没有AEC的CT方案(p <0.05)。结论:该幻像研究表明3D AEC可用于低剂量肺部CT检查,并可以减少放射剂量,同时保持良好的识别能力和良好的图像质量。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号