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Tissue characterisation in spectral CT data
Poláková, Veronika ; Jan, Jiří (referee) ; Jakubíček, Roman (advisor)
This bachelor thesis deals with tissue characterisation in virtual monoenergetic images (VMI). Firstly, literature survey presents spectral CT which allows reconstructing VMI. Secondly, statistical evaluation of tissue CT numbers was made for all energies of VMI which were reconstructed. It was found that with growing energy of VMI CT number increases or decreases with different steepness depending on a type of tissue. As a consequence, the suitable VMI offer better contrast resolution between selected pairs of tissues, which enables better tissue segmentation and classification in these images.
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Tissue characterisation in spectral CT data
Poláková, Veronika ; Jan, Jiří (referee) ; Jakubíček, Roman (advisor)
This bachelor thesis deals with tissue characterisation in virtual monoenergetic images (VMI). Firstly, literature survey presents spectral CT which allows reconstructing VMI. Secondly, statistical evaluation of tissue CT numbers was made for all energies of VMI which were reconstructed. It was found that with growing energy of VMI CT number increases or decreases with different steepness depending on a type of tissue. As a consequence, the suitable VMI offer better contrast resolution between selected pairs of tissues, which enables better tissue segmentation and classification in these images.
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Power analysis
Král, Ondřej ; Malá, Ivana (advisor) ; Bílková, Diana (referee)
This thesis examines the issues of analysis of statistical power of a test. It introduces a subject of hypotheses testing which is closely related. The goal is to expose the effect of parameters' alteration on the power test size. By using an application on examples, the thesis graphically illustrates the differences caused by the parameters' alteration. The results show how is the power of a test influenced by the effect of type one error, type two error, the number of observations, the formulation of alternative hypothesis and effect size on test power. The thesis further elaborates on effect size forms. In conclusion, all the explained theories are tested by an example that illustrates the size, which is achieved by changing the parameter.
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