Algorithms for the analysis and visualisation of magnetic resonance imaging (MRI) of the brain were created during the research, which is presented in this chapter. The initial image of a brain MRI, having been transformed to a bitmap file of 2^8 bits, enters the created algorithm, performing logical operations (AND, NOT, XOR). The output images enter a second algorithm, which uses fast Fourier transform and presents them in periodogram and autocorrelation diagrams. GNU Octave was used for the creation of the source code. The purpose of this study is, through the analysis of data and the creation of images and graphs, as well as the occurrence of correlations and topological similarities (fractals, chaos theory), to provide unique identifications of the initial brain MRI images. The distinct images that are included in this chapter constitute the visualised results of the algorithms/codes. Each image bears its quantification. For the needs of this chapter and due to the nature of the study, it was decided that all the results would be presented in the form of figures. The algorithms/codes that were created for the identification of the brain MRI images, along with quantifications, can be found in https://apothesis.eap.gr/archive/item/206488?lang=el