ITM Web Conf.
Volume 28, 2019Computer Applications in Electrical Engineering (ZkwE’2019)
|Number of page(s)
|15 July 2019
Segmentation of brain biomedical images to compute the volume of gliomas
IETiSIP, Faculty of Electrical Engineering, Warsaw University of Technology,
* Corresponding author: Krzysztof.Siwek@ee.pw.edu.pl
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.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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