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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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Meta-analysis: User motivations to use mobile dating apps
Petrová, Angelika Nelly ; Soukup, Petr (advisor) ; Tuček, Milan (referee)
This diploma thesis focuses on the motivations of users to create an account within the location- based mobile dating applications. The work is processed by statistical analysis of already published studies dealing with the same or similar topics. The main target of this paper is to calculate the effect size of individual motives in relation to the sex of the respondents. The diploma thesis starts with description of the history of online dating, specific mobile applications included in my meta-analysis, user behavior in individual stages of using these applications (profile settings, selection of other profiles, communication and its development in time), followed by the methodological part where the meta-analysis itself is desribed, the process of its creation and its weak and strong aspects. In the following chapter the results of the meta-analysis and their interpretation are presented as well as self-reflection of this paper along the recommendations for future researches. Analysis helped to reveal the differences between the sexes and also helped to synthesize the acquired studies dealing with this topis. The most notable influence of gender can be seen in the motivation of casual sex, to a lesser extent in the motivation to seek love, friends, the use of the application because of the ease...
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Meta-analysis: User motivations to use mobile dating apps
Petrová, Angelika Nelly ; Soukup, Petr (advisor) ; Tuček, Milan (referee)
This diploma thesis focuses on the motivations of users to create an account within the location- based mobile dating applications. The work is processed by statistical analysis of already published studies dealing with the same or similar topics. The main target of this paper is to calculate the effect size of individual motives in relation to the sex of the respondents. The diploma thesis starts with description of the history of online dating, specific mobile applications included in my meta-analysis, user behavior in individual stages of using these applications (profile settings, selection of other profiles, communication and its development in time), followed by the methodological part where the meta-analysis itself is desribed, the process of its creation and its weak and strong aspects. In the following chapter the results of the meta-analysis and their interpretation are presented as well as self-reflection of this paper along the recommendations for future researches. Analysis helped to reveal the differences between the sexes and also helped to synthesize the acquired studies dealing with this topis. The most notable influence of gender can be seen in the motivation of casual sex, to a lesser extent in the motivation to seek love, friends, the use of the application because of the ease...
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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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