In this paper we present a method for brain tumor segmentation and assess its performance discussing parameters - complexity of initial conditions that need to be set manually, tumor surface area recognition, and computational time. The methodology includes performing segmentation on computerized tomography (CT) medical images from 37 patients. Furthermore, one approach to user friendly two- and three-dimensional tumor visualization is proposed. The results obtained in this paper can be new paradigm in the assessment of optimal approach trajectory to brain tumor in surgical operation.