Room: Exhibit Hall | Forum 8
Purpose: To create an automated quality control program for digital radiography that quantitatively analyzes image quality metrics.
Methods: A Matlab script was designed to perform quantitative analysis on images of the Raysafe Pro-Digi radiography phantom. The script reads in two images of the phantom, and performs rigid image registration to conform the input images to a defined orientation. The modulation transfer function (MTF), noise power spectrum (NPS), detective quantum efficiency (DQE), dynamic range, and percent contrast is analyzed from various modules. Images acquired on 3 Toshiba Radrex i digital radiography systems using different phantom placement orientations, and protocols to assess performance under varying circumstances
Results: The script analyzes an image pair in approximately 7 minutes, and the results are written to an ASCII delimited file. For ease of longitudinal monitoring, specific data points of the MTF, NPS, and DQE are presented at certain spatial frequencies: at 1 lp/mm, 2 lp/mm, and the limiting resolution. The automated quality control script provided robust results regardless of phantom positioning.
Conclusion: Implementation of an automated QC program will facilitate smoother workflow in routine quality control by reducing the amount of work required to enact a QC program, and serving several radiographic units simultaneously. As well, the archived quantitative image metrics allow for more objective tracking of the performance for the imaging units