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	Segmentation of 3D image data utilising graph representation Demel, Jan ; Walek, Petr (referee) ; Jan, Jiří (advisor) This thesis deals with the application of graph theory in image segmentation. There are specifically presented method utilizing graph cuts and extensions of this method. In the first chapter thera are initially explained basics of graph theory that are essential for understanding of the presented method. It is described in the second chapter, including its extensions that use shape priors. In the third chapter there is presented solution which is used for vertebrae lesion segmentation in the CT data sets. Final function is implemented into the program but it can be used also separately. Success rate is described using sensitivity and specificity in the last chapter, there are also examples of results. Detailed record
	Segmentation of Hippocampus in MRI Data Kodym, O. This project deals with application of graph-based methods in segmentation of low contrast image data, specifically hippocampus in MRI data. Using graph cuts for the segmentation allows the software to utilize high accuracy, robustness and an ability to interact with the user. Detailed record
	Fitting geometrical models to 3D confocal microscopy images using graph cuts iteratively Janáček, Jiří A new iterative method for fitting triangulated surfaces and geometric graphs to surfaces and fibre-like structures is based on the calculation of the minimal graph cut in every iteration. The method was used for improvement of the geometric model of muscle fibres surfaces and capillaries in skeletal muscle from 3D confocal image Detailed record

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