Power Spectra Estimation Using the Combination of Goodman and Belsher Method with a Constant on Gamma Camera Images

In this paper, we introduce an algorithm that combines between Goodman and Belsher method with a constant to estimate the value of the power spectra of images produced by a gamma camera. The information about power spectra of an images will allow one to investigate other characteristics of the imaging system and to increase the quality of the images. In this work, we demonstrate the use of the power spectra values to restore the images of gamma camera using Wiener filtering technique. The imaging system is modeled by the Monte Carlo N Particle code version X (MCNPX). The object that was used in this paper is a square source which was located in air and a 1570cm3 water cylinder. The results show that, in terms of the signal to noise ratio, the best estimation was given by the proposed method.