Yalcin Asena, Olgar Turan, Sancak Tanzer, Atac Gokce Kaan, Akyar Serdar
Institute of Nuclear Sciences, Ankara University, Ankara, 06100, Turkey.
Faculty of Engineering, Department of Engineering Physics, Ankara University, Ankara, 06100, Turkey.
Med Phys. 2020 Sep;47(9):3935-3944. doi: 10.1002/mp.14244. Epub 2020 Jul 16.
The aim of this paper was to investigate the relationship between the physical and subjective (observer) image quality metrics in digital chest radiography.
Five digital radiography systems, four with indirect flat panel detector and one with storage phosphor-based computed radiography system, were used in the study. The physical image quality assessments were carried out using effective detective quantum efficiency (eDQE) metric and subjective performance of the digital radiography systems was evaluated in terms of inverse image quality figure (IQF ) derived from the contrast-detail (CD) diagrams using CDRAD 2.0 phantom and CDRAD phantom analyzer software. All measurements were performed for different tube voltages (70, 81, 90, 102, 110, and 125 kVp) and polymethyl methacrylate (PMMA) phantom thicknesses. An anthropomorphic chest phantom and visual grading analysis (VGA) technique based on European image quality criteria for chest radiography were used for clinical image quality evaluation.
The Spearman correlation coefficients were calculated for the investigation of the correlation between physical image quality and clinical image quality. The results showed strong positive correlation between the physical and clinical image quality findings. The minimum correlation coefficient was 0.91 (p < 0.011) for IQF vs VGA scores and 0.92 (p < 0.009) for IeDQE vs VGA scores.
Our results confirm that clinical image quality can be predicted with both physical assessments and contrast-detail detectability studies.
本文旨在研究数字胸部X线摄影中物理图像质量指标与主观(观察者)图像质量指标之间的关系。
本研究使用了五个数字放射成像系统,其中四个采用间接平板探测器,一个采用存储磷光体计算机放射成像系统。使用有效探测量子效率(eDQE)指标进行物理图像质量评估,并使用CDRAD 2.0体模和CDRAD体模分析软件,根据从对比度细节(CD)图得出的反向图像质量指数(IQF)来评估数字放射成像系统的主观性能。所有测量均针对不同的管电压(70、81、90、102、110和125 kVp)以及聚甲基丙烯酸甲酯(PMMA)体模厚度进行。使用基于欧洲胸部X线摄影图像质量标准的拟人化胸部体模和视觉分级分析(VGA)技术进行临床图像质量评估。
计算Spearman相关系数以研究物理图像质量与临床图像质量之间的相关性。结果表明,物理图像质量与临床图像质量结果之间存在强正相关。IQF与VGA评分的最小相关系数为0.91(p < 0.011),IeDQE与VGA评分的最小相关系数为0.92(p < 0.009)。
我们的结果证实,临床图像质量可以通过物理评估和对比度细节可检测性研究来预测。