ABSTRACT
In this contribution we present graph theoretical approach to image processing focus on biological data. We use the graph cut algorithms and extend them for obtaining segmentation of biological data. We deal with tumor brain cells and rats brain to show the existence and presence of inflammatory molecules. We introduce a completely new method for filtering of data (Tab. 3, Schema 4, Fig. 7, Ref. 13). Keywords: graph cuts, segmentation, tumore analyses of cells, computer morphometry.
Subject(s)
Algorithms , Brain Neoplasms/pathology , Image Processing, Computer-Assisted , Models, Theoretical , Animals , Brain/cytology , RatsABSTRACT
BACKGROUND: Mobile phone application may cause structural, functional changes and accumulation of toxic elements in brain. OBJECTIVES: The aim of this study was to investigate iron accumulation in rabbit cerebellum after exposure to RF EMF with light and scanning electron microscopy. MATERIALS AND METHODS: Histochemical analysis of iron distribution by light and electron microscopy with energy-dispersive microanalysis was used. RESULTS: Light microscopy revealed dystrophic changes of Purkinje cells in irradiated groups and iron deposits located in various parts of cerebellum. Deposits consists of C, O, Na, Mg, Al, Si, P, S, Cl, Ca and Fe. CONCLUSION: Our experiment revealed structural changes of Purkinje cells and iron and aluminium accumulations in stratum granulosum of rabbit's cerebellum after exposure to RF EMF (Fig. 6, Ref. 33).
Subject(s)
Cerebellum/metabolism , Electromagnetic Fields , Iron/metabolism , Radio Waves , Aluminum/metabolism , Animals , Cell Phone , Cerebellum/pathology , Cerebellum/ultrastructure , Microscopy, Electron , Purkinje Cells/metabolism , Purkinje Cells/pathology , Purkinje Cells/ultrastructure , Rabbits , Spectrometry, X-Ray EmissionABSTRACT
INTRODUCTION: Image segmentation is a known problem in the field of image processing. A great number of methods based on different approaches to this issue was created. One of these approaches utilizes the findings of the graph theory. METHODS: Our work focuses on segmentation using shortest paths in a graph. Specifically, we deal with methods of "Intelligent Scissors," which use Dijkstra's algorithm to find the shortest paths. RESULTS: We created a new software in Microsoft Visual Studio 2013 integrated development environment Visual C++ in the language C++/CLI. We created a format application with a graphical users development environment for system Windows, with using the platform .Net (version 4.5). The program was used for handling and processing the original medical data. CONCLUSION: The major disadvantage of the method of "Intelligent Scissors" is the computational time length of Dijkstra's algorithm. However, after the implementation of a more efficient priority queue, this problem could be alleviated. The main advantage of this method we see in training that enables to adapt to a particular kind of edge, which we need to segment. The user involvement has a significant influence on the process of segmentation, which enormously aids to achieve high-quality results (Fig. 7, Ref. 13).
