Paper
1 March 2019 Infuence of background trends on noise power spectrum at zero frequency in radiography imaging
Eunae Lee, Dong Sik Kim
Author Affiliations +
Abstract
Noise power spectrum (NPS) at zero frequency can efficiently represent noise properties of radiography detectors. However, accurately and precisely measuring the zero-frequency NPS has difficulties due to several factors. In this paper, such factors are first summarized. Among the factors, we observe unpredictable background trends, which are from unstable detector hardware, and propose a stochastic trend model. This trend inflates the measured NPS at zero frequency depending on the segment size for calculating periodograms. Influences of stochastic trends were first observed with synthetic data. A flat-panel mammography detector, which was based on a-Se photoconductor, was then used to experimentally observe the influences of background trends. We could observe that the inflated value at zero frequency increased as the segment size increased due to the stochastic trend while the true zero-frequency NPS was constant for different segment sizes.
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Eunae Lee and Dong Sik Kim "Infuence of background trends on noise power spectrum at zero frequency in radiography imaging", Proc. SPIE 10948, Medical Imaging 2019: Physics of Medical Imaging, 1094841 (1 March 2019); https://doi.org/10.1117/12.2512814
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KEYWORDS
Stochastic processes

Sensors

Radiography

Image segmentation

Monte Carlo methods

X-rays

Data modeling

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