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KMID : 0357520090320010017
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Journal of Radiological Science and Technology
2009 Volume.32 No. 1 p.17 ~ p.24
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Correction Method of Wiener Spectrum (WS) on Digital Medical Imaging Systems
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Kim Jung-Min
Lee Ki-Sung
Kim Yoo-Hyun
Lee Ki-Sung
Kim You-Hyun
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Abstract
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Noise evaluation for an image has been performed by root mean square (RMS) granularity, autocorrelation function (ACF), and Wiener spectrum. RMS granularity stands for standard deviation of photon data and ACF is acquired by integration of 1 D function of distance variation. Fourier transform of ACF results in noise power spectrum which is called Wiener spectrum in image quality evaluation. Wiener spectrum represents noise itself. In addition, along with MTF, it is an important factor to produce detective quantum efficiency (DQE). The proposed evaluation method using Wiener spectrum is expected to contribute to educate the concept of Wiener spectrum in educational organizations, choose the appropriate imaging detectors for clinical applications, and maintain image quality in digital imaging systems.
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KEYWORD
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Wiener spectrum (WS), Noise power spectrum (NPS), Discrete Fourier Transform (DFT)
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