Zoetelief J, Idris H H E, Jansen J T M
Delft University of Technology, IRI, Mekelweg 15, 2629 JB Delft, The Netherlands.
Radiat Prot Dosimetry. 2005;117(1-3):269-73. doi: 10.1093/rpd/nci723. Epub 2006 Feb 3.
Quality control in digital radiology can be time-consuming. Equipment self-tests may significantly decrease staff workload. The two most essential parameters for radiology systems are image quality and patient dose. Concerning patient dose, information on the dose-area product (DAP) values generally forms the basis for assessment of patient dose. DAP-values can be measured using a transmission ionisation chamber or calculated from equipment settings. In the present study, various image quality parameters were derived using a contrast-detail (C-D) phantom. The investigation included a computer-aided assessment of C-D images, which produced various parameters, and also parameters based upon scoring by human observers. In addition, another parameter was calculated from modulation transfer function (MTF) measurements. The automatically calculated parameters showed good correlation with human readings, although the number of X-ray systems studied is still limited. We propose a combined evaluation of DAP and automatically calculated C-D or MTF parameters for equipment self-tests.
数字放射学中的质量控制可能很耗时。设备自检可显著减少工作人员的工作量。放射学系统的两个最重要参数是图像质量和患者剂量。关于患者剂量，剂量面积乘积（DAP）值的信息通常构成评估患者剂量的基础。DAP值可使用透射电离室测量或根据设备设置计算得出。在本研究中，使用对比细节（C-D）模体得出了各种图像质量参数。该调查包括对C-D图像的计算机辅助评估，其产生了各种参数，以及基于人类观察者评分的参数。此外，从调制传递函数（MTF）测量中计算出另一个参数。尽管所研究的X射线系统数量仍然有限，但自动计算的参数与人工读数显示出良好的相关性。我们建议对DAP以及自动计算的C-D或MTF参数进行综合评估，用于设备自检。
