Effect of background trends removal on noise power spectrum measurements in digital x-ray imaging

Zhongxing Zhou; Feng Gao; Huijuan Zhao; Lixin Zhang

doi:10.1117/12.871053

21 February 2011 Effect of background trends removal on noise power spectrum measurements in digital x-ray imaging

Zhongxing Zhou, Feng Gao, Huijuan Zhao, Lixin Zhang

Proceedings Volume 7890, Advanced Biomedical and Clinical Diagnostic Systems IX; 78901F (2011) https://doi.org/10.1117/12.871053
Event: SPIE BiOS, 2011, San Francisco, California, United States

Abstract

Noise characterization through estimation of the noise power spectrum (NPS) is a central component of the evaluation of digital X-ray systems. Extensive works have been conducted to achieve accurate and precise measurement of NPS. One approach to improve the accuracy of the NPS measurement is to reduce the statistical variance of the NPS results. However, this method is based on the assumption that the noise in a radiographic image is arising from stochastic (random) processes. In the practical data, the artifactuals always superimpose on the stochastic noise as low-frequency background trends and prevent us from achieving accurate NPS. In this study, NPS measurement was implemented and compared before and after background trends removal, the results showed that background detrending reduced the variance of the low-frequency spectral components, hence improving the accuracy of NPS measurement. Our results also showed that involving more samples for ensemble averaging had little effect in reducing the variance of the low-frequency spectral components. All results implied that it is necessary and feasible to get better NPS estimate by appropriate background detredning.

Citation Download Citation

Zhongxing Zhou, Feng Gao, Huijuan Zhao, and Lixin Zhang "Effect of background trends removal on noise power spectrum measurements in digital x-ray imaging", Proc. SPIE 7890, Advanced Biomedical and Clinical Diagnostic Systems IX, 78901F (21 February 2011); https://doi.org/10.1117/12.871053

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