| Title |
Evaluation of the performance of digital x-ray systems in pelvis radiography / |
| Authors |
Jreije, Antonio ; Krynke, Leonid ; Gricienė, Birutė ; Rimkus, Bernardas ; Dementavičienė, Jūratė ; Skovorodko, Kirill |
| DOI |
10.1088/1361-6498/ad5d79 |
| Full Text |
|
| Is Part of |
Journal of radiological protection.. Bristol : IOP publishing. 2024, vol. 44, iss. 3, art. no. 031501, p. 1-10.. ISSN 0952-4746. eISSN 1361-6498 |
| Keywords [eng] |
anthropomorphic phantom ; digital radiography ; dose optimization ; image quality ; pelvis radiography |
| Abstract [eng] |
The aim of this study was to investigate the performance of eight digital radiography systems and to optimise the dose-image quality relationship for digital pelvis radiography. The study involved eight digital radiography systems used for general examinations at Vilnius University Hospital Santaros Klinikos. An anthropomorphic pelvic phantom (CIRS, US) was used to simulate a patient undergoing clinical pelvis radiography. Dose quantities entrance surface dose, dose area product (DAP) and exposure parameters (kVp, mA, mAs) were measured and the effects on the images were evaluated, considering physical contrast to noise ratio (CNR) and observer-based evaluations as image quality metrics. Increasing the tube voltage by 5 kVp from standard protocol led to a reduction in radiation dose (DAP) by 12%-20% with a slight impact on image quality (CNR decreases by 2%-10%). There was an inter-observer variability in image rating across different equipment (kappa value between 0 and 0.3); however, both observers agreed that increasing kVp up to 85-90 kV had no effect on perceived image quality. The results indicate that optimisation strategies should be tailored specifically for each x-ray system since significant performance differences and wide variations in radiation dose exist across various digital radiography systems used in clinical settings. The use of high kVp can be used for dose optimisation in digital pelvis radiography without compromising image diagnostic accuracy. |
| Published |
Bristol : IOP publishing |
| Type |
Journal article |
| Language |
English |
| Publication date |
2024 |
| CC license |
|
