In this paper, we address the problem of improving image reconstruction methods for forming a real image from the projections of one image, which is relevant to X-ray computed tomography (CT) imaging. Improving medical signals, i.e. images, is a complex process and is still the most widely studied, and today it is one of the main areas of digital image processing and improvement in medicine. Also, in this article, the problem of image restoration is studied by analyzing the projections of different degrees on the image, and the problem of image formation and restoration by X-ray computed tomography is solved. It has been seen that by sending light from different angles we can re-project the image and create a 3D volume, and that repeating this process through many angles and adding back projections can bring the texture of the image in question into a 3D image.