Automated Web-based Software for CT Quality Control Testing of Low-contrast Detectability using Model Observers.
Automated Web-based Software for CT Quality Control Testing of Low-contrast Detectability using Model Observers.
复制标题
基于网络的自动化软件,用于使用模型观察器对低对比度可检测性进行 CT 质量控制测试。
DOI:
10.1117/12.3008777
复制
发表时间:
2024
期刊:
影响因子:
--
通讯作者:
Yu,Lifeng
中科院分区:
文献类型:
--
作者:
Zhou,Zhongxing;Wellinghoff,Jarod;Fan,Mingdong;Hsieh,Scott;Holmes3rd,David;McCollough,CynthiaH;Yu,Lifeng
The Channelized Hotelling observer (CHO) is well correlated with human observer performance in many CT detection/classification tasks but has not been widely adopted in routine CT quality control and performance evaluation, mainly because of the lack of an easily available, efficient, and validated software tool. We developed a highly automated solution – CT image quality evaluation and Protocol Optimization (CTPro), a web-based software platform that includes CHO and other traditional image quality assessment tools such as modulation transfer function and noise power spectrum. This tool can allow easy access to the CHO for both the research and clinical community and enable efficient, accurate image quality evaluation without the need of installing additional software. Its application was demonstrated by comparing the low-contrast detectability on a clinical photon-counting-detector (PCD)-CT with a traditional energy-integrating-detector (EID)-CT, which showed UHR-T3D had 6.2% higher d’ than EID-CT with IR (p = 0.047) and 4.1% lower d’ without IR (p = 0.122).