Segmentation of brain biomedical images to compute the volume of gliomas

Abstract

The paper presents an algorithm of segmentation of brain imaging examination results − computed tomography (CT) and positron emission tomography (PET) − to identify, compute, and visualize the brain tumors. Computer software was developed in the MATLAB environment using active contour methods: Edge and Chan-Vese. A review of the current treatment plan for patients with diagnosed glioblastoma multiforme was included to emphasize the significance of the solved problem. The work presents executed steps in the algorithm with a detailed description of thresholding process. Visual results of tumors were performed and presented.