Precision analysis of the noise power spectrum estimate in radiography imaging

Eunae Lee; Dong Sik Kim

doi:10.1117/12.2293614

9 March 2018 Precision analysis of the noise power spectrum estimate in radiography imaging

Eunae Lee, Dong Sik Kim

Proceedings Volume 10573, Medical Imaging 2018: Physics of Medical Imaging; 1057361 (2018) https://doi.org/10.1117/12.2293614
Event: SPIE Medical Imaging, 2018, Houston, Texas, United States

Abstract

The noise power spectrum (NPS) is usually measured to quantitatively evaluate the detector noise performance. In this paper, Bartlett’s method is employed to estimate the NPS values, in which the NPS estimate is the sample mean of periodograms. The precision of the NPS estimate is then derived and equal to the inverse of the square root of the sample size. It can be noticed that the precision is independent of the NPS values and the spectral resolution. We conducted a Monte Calro simulation on the precision and compared the precisions for a general radiography detector. We could observe the sample-size dependency on the NPS estimate precision through extensive experiments and derived a system uncertainty, which is dependent on the radiation of the x-ray, readout circuits, etc. The theoretical and numerical analyses on the NPS estimate precision will be a good guideline in designing high-precision detectors.

Citation Download Citation

Eunae Lee and Dong Sik Kim "Precision analysis of the noise power spectrum estimate in radiography imaging", Proc. SPIE 10573, Medical Imaging 2018: Physics of Medical Imaging, 1057361 (9 March 2018); https://doi.org/10.1117/12.2293614

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