(Monday, 7/15/2019) 1:15 PM - 1:45 PM
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
Keywords
Quality Control, Radiography, Computer Software
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