Comparison of edge analysis techniques for the determination of the MTF of digital radiographic systems.

The modulation transfer function (MTF) is well established as a metric to characterize the resolution performance of a digital radiographic system. Implemented by various laboratories, the edge technique is currently the most widespread approach to measure the MTF. However, there can be differences in the results attributed to differences in the analysis technique employed. The objective of this study was to determine whether comparable results can be obtained from different algorithms processing identical images representative of those of current digital radiographic systems. Five laboratories participated in a round-robin evaluation of six different algorithms including one prescribed in the International Electrotechnical Commission (IEC) 62220-1 standard. The algorithms were applied to two synthetic and 12 real edge images from different digital radiographic systems including CR, and direct- and indirect-conversion detector systems. The results were analysed in terms of variability as well as accuracy of the resulting presampled MTFs. The results indicated that differences between the individual MTFs and the mean MTF were largely below 0.02. In the case of the two simulated edge images, all algorithms yielded similar results within 0.01 of the expected true MTF. The findings indicated that all algorithms tested in this round-robin evaluation, including the IEC-prescribed algorithm, were suitable for accurate MTF determination from edge images, provided the images are not excessively noisy. The agreement of the MTF results was judged sufficient for the measurement of the MTF necessary for the determination of the DQE.

[1]  Owen Robert Mitchell,et al.  Edge Location to Subpixel Values in Digital Imagery , 1984, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[2]  A Fenster,et al.  A method for modulation transfer function determination from edge profiles with correction for finite-element differentiation. , 1987, Medical physics.

[3]  Stephen E. Reichenbach,et al.  Characterizing digital image acquisition devices , 1991 .

[4]  I A Cunningham,et al.  Signal and noise in modulation transfer function determinations using the slit, wire, and edge techniques. , 1992, Medical physics.

[5]  E. Samei,et al.  A method for measuring the presampled MTF of digital radiographic systems using an edge test device. , 1998, Medical physics.

[6]  P. Granfors,et al.  Performance of a 41X41-cm2 amorphous silicon flat panel x-ray detector for radiographic imaging applications. , 2000, Medical physics.

[7]  I. Cunningham Applied Linear-Systems Theory , 2000 .

[8]  P. Greer,et al.  Evaluation of an algorithm for the assessment of the MTF using an edge method. , 2000, Medical physics.

[9]  James T. Dobbins Image Quality Metrics for Digital Systems , 2000 .

[10]  Ulrich Neitzel,et al.  Simple method for modulation transfer function determination of digital imaging detectors from edge images , 2003, SPIE Medical Imaging.

[11]  Ehsan Samei,et al.  A method for modifying the image quality parameters of digital radiographic images. , 2003, Medical physics.

[12]  Ulrich Neitzel,et al.  Accuracy of a simple method for deriving the presampled modulation transfer function of a digital radiographic system from an edge image. , 2003, Medical physics.

[13]  Ehsan Samei,et al.  An experimental comparison of detector performance for direct and indirect digital radiography systems. , 2003, Medical physics.