The goal of this project is to perform a pre-study for taking a step toward implementing CT-scanners into medical transportation, and to answer the following questions. Can a miniaturized CT-scanner be created from lower end hardware without compromising image quality? Which image filters are optimal to obtain the clearest, least noisy images from the created CT-scanner? To answer these questions, a literature study is performed and the study shows that a highpass filter combined with flat field correction and a contrast enhancing filter is the most efficient way to increase the image detail in an X-ray image. The image filter is created in MATLAB and the CT-scanner software is created with Python. This project concludes that it is possible with the right hardware and software implementations, to create a miniature CT-scanner as images of both organic and inorganic objects are taken, filtered and their internal structure displayed.

No description available.