Image segmentation plays a major role in a wide range of applications. In this thesis, an application was developed to present a new method of image processing for segmentation and analysis on cardiovascular CT images. To be acceptable for use in practice, the segmentation approach must offer some control to the expert, however without too many customizable parameters, so the range of user interactions should not be neglected. During the literature review, anatomical features were identified that can predict how to make segmentation from CT images. It was necessary to decide which of the landmarks that can be determined from the CT image are most important for planning the segmentation procedure. Therefore, it was necessary to study the formation of CT images, the procedure of CT, segmentation methods and graphic techniques for segmentation. In order to make it easier to see the deformations on the images, in order to help doctors plan the procedure, an application has been developed that can offer time savings when viewing the image and the graphic marking of the image itself. After studying the medical background, which consisted of describing cardiovascular anatomy, computed tomography, and the CT procedure, a review of the methods used to segment the heart on cardiovascular images of various images was made in the next section. Their advantages, disadvantages and applicability to the task this paper deals with were discussed. Consequently, a detailed overview of segmentation-focused methods was obtained. After that, the construction of applications is described with a description of the technologies used during the research and implementation of the application as well as their functionality in the application. The software solution of the application is described with a description of the application development, application code, some of the most crucial vtk classes and at the very end of the paper it is shown how the possibility of interactive review of the subject helps us understand and recognize its important features for further work.