Asena Yalcin1, Turan Olgar1,2, Tanzer Sancak3, Gokce Kaan Atac4, Serdar Akyar5. 1. Institute of Nuclear Sciences, Ankara University, Ankara, 06100, Turkey. 2. Faculty of Engineering, Department of Engineering Physics, Ankara University, Ankara, 06100, Turkey. 3. Department of Radiology, TOBB University of Economics and Technology Hospital, Ankara, Turkey. 4. Faculty of Medicine, Department of Radiology, Ufuk University, Ankara, Turkey. 5. Department of Radiology, Ankara University School of Medicine, Ankara, Turkey.
Abstract
PURPOSE: The aim of this paper was to investigate the relationship between the physical and subjective (observer) image quality metrics in digital chest radiography. METHODS: 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 (IQFinv ) 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. RESULTS: 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 IQFinv vs VGA scores and 0.92 (p < 0.009) for IeDQE vs VGA scores. CONCLUSIONS: Our results confirm that clinical image quality can be predicted with both physical assessments and contrast-detail detectability studies.
PURPOSE: The aim of this paper was to investigate the relationship between the physical and subjective (observer) image quality metrics in digital chest radiography. METHODS: 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 (IQFinv ) 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. RESULTS: 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 IQFinv vs VGA scores and 0.92 (p < 0.009) for IeDQE vs VGA scores. CONCLUSIONS: Our results confirm that clinical image quality can be predicted with both physical assessments and contrast-detail detectability studies.