Abstract
Brain tumors are one of the most common causes of human mortality. According to the American Association of Brain Tumors, about 80,000 men, women, and children had a diagnosis of primary brain tumor in 2017. Early diagnosis of cancer by screening allows you to intervene to reduce mortality. For this purpose, a fractal analysis of medical images may be useful. In this study, we investigated the images of magnetic resonance (MR) of a healthy human brain and brain that contain different types of brain tumors. The fractal dimension and Hurst index were selected as diagnostic capabilities for a tomographic image using the Image J software package for processing FracLac images for use in fractal analysis with an area of 640 x 480 pixels. Calculations of fractal sizes of samples of pathological and healthy tissues were performed by a short counting method. In pathological cases (brain tumor), the Hurst score was less than 0.5 (the region of unstable statistical characteristics). For healthy tissue, the Hurst index is more than 0.5 (zone of stable characteristics). The study showed the possibility of using a fractal rapid assay to detect brain tumors of a person. The Hurst Exhibitor can be used as an important diagnostic characteristic for the analysis of medical images
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