Abstract

A one-dimensional stochastic model is proposed to analyze the characteristics of quantum noise in flat-panel detectors (FPD) for medical imaging applications. The number of x-ray photons is modeled as a Poisson process, and explicit expressions for the autocorrelation function and noise power spectrum density (NPSD) are obtained in terms of the exposure dose, blur shape in the capture element, and pixel size. The results from the proposed model are validated with numerical simulations, and it is shown that this model can be used for the analysis of the noise properties of the FPD. The influence of these three parameters on the NPSD is then investigated.

© 2016 Optical Society of America

Signal-to-noise optimization of medical imaging systems

Ian A. Cunningham and Rodney Shaw
J. Opt. Soc. Am. A 16(3) 621-632 (1999)

Analysis of the detective quantum efficiency of a radiographic screen–film combination

Phillip C. Bunch, Kenneth E. Huff, and Richard Van Metter
J. Opt. Soc. Am. A 4(5) 902-909 (1987)

Analysis of signal and noise propagation for several imaging mechanisms

Majid Rabbani and Richard Van Metter
J. Opt. Soc. Am. A 6(8) 1156-1164 (1989)

Signal and noise transfer in spatiotemporal quantum-based imaging systems

Reza Akbarpour, Saul N. Friedman, Jeffrey H. Siewerdsen, John D. Neary, and Ian A. Cunningham
J. Opt. Soc. Am. A 24(12) B151-B164 (2007)

Task-based lens design with application to digital mammography

Liying Chen and Harrison H. Barrett
J. Opt. Soc. Am. A 22(1) 148-167 (2005)