Automatic stabilization of magnetic resonance imaging of the brain using the active contour model

Due to the increasing variety of medical images and the need for physicians to perform these images for a more accurate diagnosis, the need for automated systems that make the diagnosis process faster and easier is felt more than ever. These algorithms allow the identification, measurement and comparison of images very accurately by matching two homosexual or heterosexual images. In this paper, in order to automatically stabilize the magnetic resonance images of the brain, first, efficient spatial features are extracted through active contours. The point points are selected from the center of gravity of the closed spaces in the image, and after evaluating the point points and selecting the corresponding points, using the appropriate geometric transformation, it stabilizes the two brain images optimally.