Abstract: Filter selection is one of the most important parts of data processing in spectral imaging and is also one of the most important and effective factors in image reconstruction. The purpose of this study is to determine which of the technical factors that have a significant impact on the quality of spectral images is the filtering of raw images that, if selected correctly and accurately, significantly increases the accuracy of image recognition. On the other hand, image reconstruction algorithms play a significant role in noise distribution. Computational algorithms based on the concept of error propagation and statistical algorithms based on the concept of statistical uncertainties, each in turn, will affect the final image noise.In other words, each image reconstruction algorithm behaves differently in a synogram event, which will cause a different effect of each algorithm on the image noise. Algorithms are one of the most common methods of analytical and statistical image reconstruction, respectively. In this study, three filters, OS-EM, butterworth and FBP were examined to determine the quality of the captured images.50 static bone scan images were examined by FBP, OSEM and butterworth software filters. The images were provided to the nuclear medicine specialist to determine the quality, contrast and quality acceptance. The best quality or excellent number 2 was given the average quality number 1 and the poor quality number 0, and finally the obtained images were compare. The results showed; In terms of image quality measured with FBP filter, 68% of the images were of excellent quality and 32% of the images were of medium quality. In terms of image quality measured with OSEM filter, 40% had excellent quality images, 56% had medium quality images and 4% had poor quality images. In terms of image quality measured with butterworth filter, 10% of the images were of excellent quality, 54% of the images were of medium quality and 36% of the images were of poor quality. Chi-square test was used to determine the difference in the quality of the measured images. The results showed that there was no significant difference between the three filters in terms of image quality (p = 0.63). At the end of this study, the results showed; There was no difference in image quality between the filters compared, however, the FBP filter had the best image quality compared to the other two filters. Of course, there is a debatable point here, according to the study area, the type of complication, the choice of filter and its parameter are different, so an optimal filter is not possible and depends on the type of disease.