Introduction of a New Parameter for Evaluation of Digital Radiography System Performance

(2020) Introduction of a New Parameter for Evaluation of Digital Radiography System Performance. Journal of Medical Signals & Sensors. pp. 196-200. ISSN 2228-7477

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Abstract

Background: The aim of this study was to compare the image quality and radiation doses in various digital radiography systems using contrast-detail radiography (CDRAD) phantom. Methods: The image quality and radiation dose for seven different digital radiography systems were compared using the CDRAD phantom. Incident air kerma (IAK) values were measured for certain exposure settings in all digital radiography systems. The images from the CDRAD phantom were evaluated by three observers. The results were displayed in the form of a contrast-detail (CD) curve. In addition, the inverse image quality figure (IQFinv)-to-IAK ratios were used for quantitative comparison of different digital radiography system performance. Results: Results of this study showed that the CD curves cannot be suitable criterion for determining the performance of digital radiography systems. For this reason, IQFinv-to-radiation dose (IAK) ratios in a fixed radiation condition were used. The highest performance in terms of producing high-quality images and low radiation dose was related to X-ray unit 1 and the lowest performance was for X-ray unit 5. Conclusion: The ratio of IQFinv to IAK for performance evaluation of digital radiography systems is an innovation of this study. A digital radiography system with a higher IQFinv-to-IAK ratio is associated with lower patient dose and better image quality. Therefore, it is recommended to equip the new imaging centers with the systems that have higher IQFinv-to-IAK ratios.

Item Type: Article
Keywords: Contrast detail contrast-detail radiography phantom digital radiography image quality radiation dose IMAGE QUALITY COMPUTED RADIOGRAPHY DETECTOR
Subjects: WN Radiology. Diagnostic Imaging
Divisions: Faculty of Medicine > Student Research Committee
Faculty of Paramedical > Department of Radiology
Page Range: pp. 196-200
Journal or Publication Title: Journal of Medical Signals & Sensors
Journal Index: ISI
Volume: 10
Number: 3
Identification Number: https://doi.org/10.4103/jmss.JMSS₅₃₁₉
ISSN: 2228-7477
Depositing User: Zahra Otroj
URI: http://eprints.mui.ac.ir/id/eprint/12354

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