Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/4020
Title: Correlation between physical measurements and observer evaluations of image quality in digital chest radiography
Authors: Yalçın, Asena
Olgar, Turan
Sancak, Tanzer
Ataç, Gökçe Kaan
Akyar, Serdar
Keywords: integrated effective detective quantum efficiency (IeDQE)
image quality figure (IQF)
visual grading analysis (VGA)
Issue Date: Sep-2020
Publisher: John Wiley and Sons Ltd
Source: Yalcin, A., Olgar, T., Sancak, T., Atac, G. K., & Akyar, S. (2020). Correlation between physical measurements and observer evaluations of image quality in digital chest radiography. Medical Physics, 47(9), 3935-3944.
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.
URI: https://hdl.handle.net/20.500.11851/4020
https://doi.org/10.1002/mp.14244
ISSN: 0094-2405
Appears in Collections:Dahili Tıp Bilimleri Bölümü / Department of Internal Medical Sciences
PubMed İndeksli Yayınlar Koleksiyonu / PubMed Indexed Publications Collection
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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