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	Analysis of 3D CT image data aimed at detection and classification of specific tissue structures Šalplachta, Jakub ; Malínský, Miloš (referee) ; Jan, Jiří (advisor) This thesis deals with the segmentation and classification of paraspinal muscle and subcutaneous adipose tissue in 3D CT image data in order to use them subsequently as internal calibration phantoms to measure bone mineral density of a vertebrae. Chosen methods were tested and afterwards evaluated in terms of correctness of the classification and total functionality for subsequent BMD value calculation. Algorithms were tested in programming environment Matlab® on created patient database which contains lumbar spines of twelve patients. Following sections of this thesis contain theoretical research of the issue of measuring bone mineral density, segmentation and classification methods and description of practical part of this work. Detailed record
	Automatic Segmentation And Classification Of Internal Calibration Tissues Šalplachta, Jakub The aim of this work is finding a way to make calculation of bone mineral density of vertebrae with the use of internal calibration tissues fully automatic procedure. To accomplish that several methods for segmentation and classification of paraspinal muscle and subcutaneous fat were tested. For the testing and learning procedure of this work manually labelled database of tissues of interest was created and medically verified. Detailed record
	Analysis of 3D CT image data aimed at detection and classification of specific tissue structures Šalplachta, Jakub ; Malínský, Miloš (referee) ; Jan, Jiří (advisor) This thesis deals with the segmentation and classification of paraspinal muscle and subcutaneous adipose tissue in 3D CT image data in order to use them subsequently as internal calibration phantoms to measure bone mineral density of a vertebrae. Chosen methods were tested and afterwards evaluated in terms of correctness of the classification and total functionality for subsequent BMD value calculation. Algorithms were tested in programming environment Matlab® on created patient database which contains lumbar spines of twelve patients. Following sections of this thesis contain theoretical research of the issue of measuring bone mineral density, segmentation and classification methods and description of practical part of this work. Detailed record

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