title: Determination of the two-dimensional detective quantum efficiency of a computed radiography system.
abstract: Based on a recently described method for determining the two-dimensional presampling modulation transfer function (MTF), the aperture mask method, a method for determining the two-dimensional detective quantum efficiency (DQE) of a digital radiographic system was developed. The method was applied to a new computed radiography (CR) system and comparisons with one-dimensional determinations of the presampling MTF and the DQE were performed. The aperture mask method was shown to agree with the conventional tilted slit method for determining the presampling MTF along the axes. For the particular CR system studied, the mean of one-dimensional determinations of the DQE in orthogonal directions led to a representative measure of the average DQE behavior of the system up to the Nyquist frequency along the axes, but a deviation was observed above this frequency. In conclusion, the method developed for determining the two-dimensional DQE can be used to determine the imaging properties of a digital radiographic detector system over almost the entire frequency domain, the exception being the lowest frequencies (< or = 0.1 mm(-1)) at which the validity and the reliability of the method are low.
authors.affiliation: Department of Medical Physics and Biomedical Engineering, Sahlgrenska University Hospital, SE-413 45 Göteborg, Sweden. magnus.bath@vgregion.se
authors.forename: Magnus
authors.initials: M
authors.lastname: Båth
authors.forename: Markus
authors.initials: M
authors.lastname: Håkansson
authors.forename: Lars Gunnar
authors.initials: LG
authors.lastname: Månsson
mesh_terms: D000465:Algorithms; D019544:Equipment Failure Analysis / Q000379:methods*; D011856:Radiographic Image Enhancement / Q000295:instrumentation* / Q000379:methods*; D011857:Radiographic Image Interpretation, Computer-Assisted / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted