Implementation of modern brain images analysis methods for the brain cancer diagnostics purposes

 

Zapotoczny K1, Żaba J1, Komarnicka A1, Woehl A1, Gasz R1, Browarska N1, Kawala-Sterniuk A1

 

1 Opole University of Technology, Poland

 

Brain cancer is very hard to detect type of cancer, with frequently no visible signs until it gets more advanced and until it is too late for appropriate treatment application. Also the current medical situation, affected with the COVID made the access to appropriate diagnosis more difficult. Magnetic Resonance Imaging (MRI) is a very safe and efficient diagnostic method, although the equipment is very pricey and numerous clinics have no access to that. The MRI measurement is non-invasive and safe for patients and provides information regarding patients’ brains with no need for brain surgery. When it comes to diagnostics it can be a good alternative to surgical intervention, which is still being used in clinics with no access to the MRI. In this paper some of the most popular methods for analysis of brain images recorded for the purpose of brain cancer diagnostics were briefly presented. This paper also covers the issues related with brain cancer diagnosis and some of the current most common methodologies. This work also contains some sample data analysis carried out by the authors of this work in order to show the efficiency of some of the most popular analysis methods applied for the purpose of MRI data analysis. The data used for this study was obtained from an open source data-base. The study described in this paper is of initial character, however, the obtained results were promising and proved the necessity and equity for applying them in the whole brain cancer diagnostic process.