Open AccessUsing in-house quick-QC phantom to characterize computed and direct digital radiography: a preliminary study
Author(s) -
Ikhwan Nur Rahman,
Muhamad Ibnu Fajar,
Nur Aini,
Reni Febrianti,
I. Lestariningsih,
M. Roslan Abdul Gani,
Lukmanda Evan Lubis,
Djarwani Soeharso Soejoko
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1248/1/012024
Subject(s) - imaging phantom , pixel , image quality , optical transfer function , digital radiography , metric (unit) , computer science , detector , sensitivity (control systems) , linearity , computed radiography , optics , artificial intelligence , computer vision , nuclear medicine , radiography , physics , image (mathematics) , medicine , electronic engineering , engineering , operations management , quantum mechanics , nuclear physics
In this study, two CR receptors (Agfa CR-85X and Agfa CR-10X) and two DDR receptors (Brivo DR-F and Essenta) were characterized in terms of detector sensitivity and image quality. An in-house phantom was specially designed to accommodate image quality assessment for quick QC and is tested as a purpose of this study. The reference quantitative aspect that were used to characterize the imaging units are the correlation between Pixel Value and image receptor dose, whereas evaluation of image quality based on the modules on the in-house phantom uses new proposed metrics (coefficient of linearity, CL, and coefficient of variance, CV). Each system’s unique Pixel Value-dose characteristics are also expressed in the results of the in-house phantom’s metrics (i.e. CL and CV). In addition, the constancy of measured modulation transfer function suggests potential use for system quality judgment. As all characterizations (Pixel Value-dose characteristics, MTF, and new metrics) indicated on unique result for each systems, the study implies that the designed in-house phantom as well as its proposed metric can be promising to be used to characterize digital radiography systems during quick QC.