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Computational modelling of stresses in intracranial aneurysms
Turčanová, Michaela ; Polzer, Stanislav (referee) ; Burša, Jiří (advisor)
The diploma thesis deals with the assessment of the prediction of brain aneurysm rupture based on its geometrical and material properties. In the first part of the thesis there is a~detailed research study of cardiovascular systems with a focus on the cerebral artery and aneurysm occurring on their bifurcates. The second part of the thesis is focused on the creation of two models of arterial cerebral bifurcation with the presence of aneurysm and on obtaining their geometry in unloaded state. Emphasis is placed on the most realistic constitutive model of the artery wall material based on real data from uniaxial tensile tests and on a suitably chosen blood pressure load. This blood pressure may be step-changed, for example, in bungee jumping. In the work, a calculation of the increase in blood pressure during the step-change is performed, which is subsequently used in calculations of tension in the wall of the cerebral aneurysm. In conclusion, the risk of rupture is evaluated in two model idealized brain aneurysms and a discussion of the credibility of the results is given.
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Intracranial aneurysm detection in TOF-MRI data
Vývoda, Jan ; Vičar, Tomáš (referee) ; Jakubíček, Roman (advisor)
Práce obsahuje teoretický přehled informací o intrakraniálních aneurysmatech, jejich diagnostice a terapii. Dále shrnuje metody detekce objektů jak klasickými metodami, tak metodami strojového učení a také obsahuje stručný popis některých metod detekce intrakraniálních aneurysmat. V praktické části je vyhodnoceno a porovnáno několik navrhnutých postupů segmentace a detekce těchto aneurysmat pomocí neuronové sítě U-net.
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Comparison of full-size and patches-based learning approaches for aneurysm segmentation in TOF-MRI data
Vývoda, J. ; Jakubíček, R.
The paper is interested in segmentation of intracranial aneurysms. Intracranial aneurysms are life-threatening issue. In this paper there are proposed two methods for this segmentation problem. First one is segmentation with use of full size images, the other one uses patches of the image, which could help decrease the ration between pixels representing background and pixels representing aneurysms. Data from ADAM challenge 2020 are used to train and evaluate these approaches. Using full images show better results in dice coefficient, which is 0.16 greater, then patched image approach.
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Intracranial aneurysm detection in TOF-MRI data
Vývoda, Jan ; Vičar, Tomáš (referee) ; Jakubíček, Roman (advisor)
Práce obsahuje teoretický přehled informací o intrakraniálních aneurysmatech, jejich diagnostice a terapii. Dále shrnuje metody detekce objektů jak klasickými metodami, tak metodami strojového učení a také obsahuje stručný popis některých metod detekce intrakraniálních aneurysmat. V praktické části je vyhodnoceno a porovnáno několik navrhnutých postupů segmentace a detekce těchto aneurysmat pomocí neuronové sítě U-net.
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|
|
Computational modelling of stresses in intracranial aneurysms
Turčanová, Michaela ; Polzer, Stanislav (referee) ; Burša, Jiří (advisor)
The diploma thesis deals with the assessment of the prediction of brain aneurysm rupture based on its geometrical and material properties. In the first part of the thesis there is a~detailed research study of cardiovascular systems with a focus on the cerebral artery and aneurysm occurring on their bifurcates. The second part of the thesis is focused on the creation of two models of arterial cerebral bifurcation with the presence of aneurysm and on obtaining their geometry in unloaded state. Emphasis is placed on the most realistic constitutive model of the artery wall material based on real data from uniaxial tensile tests and on a suitably chosen blood pressure load. This blood pressure may be step-changed, for example, in bungee jumping. In the work, a calculation of the increase in blood pressure during the step-change is performed, which is subsequently used in calculations of tension in the wall of the cerebral aneurysm. In conclusion, the risk of rupture is evaluated in two model idealized brain aneurysms and a discussion of the credibility of the results is given.
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