The main objective of this paper is to implement an application using the Matlab working environment, in order to process medical images and to be able to use their analysis in the faster diagnosis of pulmonary fibrosis. To approach the proposed topic, algorithms for segmentation, active contour and image processing were studied, and then an optimal solution was implemented for image analysis, using the Matlab work environment. As final results, the chosen solution consists of several steps, which easily lead to the establishment and interpretation of CT images by a specialist. Each stage that makes up the application was tested individually, and then tested at the application level with all its stages included. The final solution was used for disease detection on many different CT images and the accuracy for detecting was very good.