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Segmentation of cerebral vessels in volumetric data
Sucháček, Jan ; Harabiš, Vratislav (referee) ; Jakubíček, Roman (advisor)
This thesis deals with the design, implementation and testing of an algorithm for segmentation of cerebral vessels in 3D CT image data with a focus on stroke. First, a 3D binary mask of the brain was created and then used to extract brain tissue from the original volumetric CT images. In the extracted brain tissue, cerebral vessels were enhanced using three advanced filters based on Hessian matrix calculation and eigenvalue analysis of the Hessian matrix. The resulting parametric images of the enhanced cerebral vessels were input to six segmentation methods that were implemented and compared in this work. The program solution of this work was implemented in Matlab R2021b. The proposed algorithm was tested on real patient data. In one of the patient CT scans, cerebral vessels were labeled as part of this thesis and this resulting volume of manually segmented cerebral vessels was used to objectively evaluate the segmentation results obtained. In the theoretical part, the anatomy, physiology and pathology of the cerebral vascular supply were studied and described. Furthermore, the imaging methods used for imaging the cerebral vascular supply were described. A review of available segmentation techniques and specific approaches already published for segmentation of the cerebral vascular supply was performed. The methods used in this thesis were also theoretically described.
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Brain Vessels Enhancement in 3D CT Data Using Eigenvalues of Hessian Matrix
Sucháček, Jan ; Jakubíček, Roman
Cerebrovascular pathologies represent very serious life-threatening diseases and therefore great importance is attached to improving the diagnostic process of these diseases. In this work, an approach for brain vessels enhancement in 3D CT angiographic data has been proposed. A 3D binary mask of the brain was constructed and used for brain tissue extraction, in which the cerebral vessels were then enhanced using advanced filters based on Hessian matrix computation and analysis of Hessian eigenvalues. A dataset of 5 anonymized patient CT scans was used to design this approach.
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Segmentation of cerebral vessels in volumetric data
Sucháček, Jan ; Harabiš, Vratislav (referee) ; Jakubíček, Roman (advisor)
This thesis deals with the design, implementation and testing of an algorithm for segmentation of cerebral vessels in 3D CT image data with a focus on stroke. First, a 3D binary mask of the brain was created and then used to extract brain tissue from the original volumetric CT images. In the extracted brain tissue, cerebral vessels were enhanced using three advanced filters based on Hessian matrix calculation and eigenvalue analysis of the Hessian matrix. The resulting parametric images of the enhanced cerebral vessels were input to six segmentation methods that were implemented and compared in this work. The program solution of this work was implemented in Matlab R2021b. The proposed algorithm was tested on real patient data. In one of the patient CT scans, cerebral vessels were labeled as part of this thesis and this resulting volume of manually segmented cerebral vessels was used to objectively evaluate the segmentation results obtained. In the theoretical part, the anatomy, physiology and pathology of the cerebral vascular supply were studied and described. Furthermore, the imaging methods used for imaging the cerebral vascular supply were described. A review of available segmentation techniques and specific approaches already published for segmentation of the cerebral vascular supply was performed. The methods used in this thesis were also theoretically described.
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Regionálnì rozvoj a inspirace z jiných disciplin: Moţnosti aplikace konceptů evolučnì biologie na vybraná témata regionálnìho rozvoje
Jungwiertová, Lucie ; Blažek, Jiří (advisor) ; Sucháček, Jan (referee) ; Garrouste, Pierre (referee)
Regionálnì rozvoj a inspirace z jiných disciplin: Možnosti aplikace konceptů evolučnì biologie na vybraná témata regionálnìho rozvoje 249 II.4CONCLUSION La thèse propose une tentative de recherche en s"inspirant de la biologie évolutionnaire pour la problématique du développement régional, et cela par l"intermédiaire des applications des concepts de la biologie évolutionnaire appropriés aux sujets sélectionnés de cette discipline. Les applications, du moins de quelques uns de ces concepts de la biologie évolutionnaire à la problématique de la réalité socioéconomique ne représentent cependant rien de nouveau même si elles se manifestent dans chaque discipline par un intense intérêt. Tandis que la perspective évolutionnaire de l"économie moderne se développe au cours des dix dernières années, la même inspiration pour la problématique de la géographie socioéconomique, ou plutôt du développement régional, est beaucoup plus récente. Le nombre de géographes sociaux qui se tournent avec intérêt vers l"économie évolutionnaire pourtnant augmente considérablement. Même s"il est pour l"instant prématuré de marquer la situation actuelle comme le glissement du paradigme, selon Boschma et Martin (2007), « evolutionary turn » devient de plus en plus important dans cette discipline et la géographie économique à orientation...
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