Assessment of lesion detectability of Monte Carlo modeling of digital radiography systems

Previously we used a simple 2-D model to evaluate the imaging performance of a digital radiographic system while varying input parameters such as transducer blur and signal size. We extend this work using a realistic phosphor simulation to explore the effect of the incident x-ray spectrum and the depth dependence of the point spread function and optical collection efficiency. Initially we investigate one Swank screen type representative of modern powder phosphor design. Images resulting from these simulations are used to get an estimate of the impact of these factors on lesion detectability. Results show that the simple 2-D model gives optimistic estimates of detectability.

[1]  Aldo Badano,et al.  Depth-dependent phosphor blur in indirect x-ray imaging sensors , 2002, SPIE Medical Imaging.

[2]  J A Rowlands,et al.  X-ray imaging using amorphous selenium: inherent spatial resolution. , 1995, Medical physics.

[3]  H H Barrett,et al.  Addition of a channel mechanism to the ideal-observer model. , 1987, Journal of the Optical Society of America. A, Optics and image science.

[4]  R. K. Swank,et al.  Calculation of modulation transfer functions of x-ray fluorescent screens. , 1973, Applied optics.

[5]  John A. Swets,et al.  Evaluation of diagnostic systems : methods from signal detection theory , 1982 .

[6]  T R Fewell,et al.  A comparison of mammographic x-ray spectra. , 1978, Radiology.

[7]  William H. Press,et al.  Numerical Recipes: FORTRAN , 1988 .

[8]  H. V. Trees Detection, Estimation, And Modulation Theory , 2001 .

[9]  John A. Rowlands,et al.  Flat Panel Detectors for Digital Radiography , 2000 .

[10]  J A Rowlands,et al.  X-ray imaging using amorphous selenium: feasibility of a flat panel self-scanned detector for digital radiology. , 1995, Medical physics.

[11]  J. S. Laughlin,et al.  Absorbed radiation dose in mammography. , 1979, Radiology.

[12]  John A. Rowlands,et al.  Large-area solid state detector for radiology using amorphous selenium , 1992, Medical Imaging.

[13]  Kyle J. Myers,et al.  Lesion detectability in digital radiography , 2001, SPIE Medical Imaging.

[14]  Craig K. Abbey,et al.  Stabilized estimates of Hotelling-observer detection performance in patient-structured noise , 1998, Medical Imaging.

[15]  Keinosuke Fukunaga,et al.  Introduction to Statistical Pattern Recognition , 1972 .

[16]  H. Hotelling The Generalization of Student’s Ratio , 1931 .

[17]  C E Ravin,et al.  Quantitative radiographic imaging using a photostimulable phosphor system. , 1990, Medical physics.

[18]  R. Fisher THE USE OF MULTIPLE MEASUREMENTS IN TAXONOMIC PROBLEMS , 1936 .

[19]  Andrew D. A. Maidment,et al.  Digital Mammography , 2019, Advances in Clinical Radiology.

[20]  William H. Press,et al.  Numerical Recipes in Fortran 77 , 1992 .

[21]  D. M. Green,et al.  Signal detection theory and psychophysics , 1966 .