1. Correlation between physical measurements and observer evaluations of image quality in digital chest radiography
- Author
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Serdar Akyar, Asena Yalcin, Gökçe Kaan Ataç, Turan Olgar, Tanzer Sancak, TOBB ETU, Faculty of Medicine, Department of Internal Medical Sciences, TOBB ETÜ, Tıp Fakültesi, Dahili Tıp Bilimleri Bölümü, and Sancak, İbrahim Tanzer
- Subjects
Correlation coefficient ,Image quality ,Radiography ,visual grading analysis (VGA) ,Flat panel detector ,Imaging phantom ,030218 nuclear medicine & medical imaging ,Detective quantum efficiency ,03 medical and health sciences ,0302 clinical medicine ,integrated effective detective quantum efficiency (IeDQE) ,Computed radiography ,Digital radiography ,Mathematics ,Phantoms, Imaging ,business.industry ,image quality figure (IQF) ,General Medicine ,Thorax ,Radiographic Image Enhancement ,030220 oncology & carcinogenesis ,Radiography, Thoracic ,business ,Nuclear medicine ,Software - 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.
- Published
- 2020
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