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Titlebook: Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges; 4th International Wo Oscar Camara,Tommaso Mans

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0302-9743 ional physiology; model customization; atlas based functional analysis; ontological schemata for data and results; integrated functional and structural analyses; as well as the pre-clinical and clinical applicability of these methods.978-3-642-54267-1978-3-642-54268-8Series ISSN 0302-9743 Series E-ISSN 1611-3349
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A Finite Element CFD Simulation for Predicting Patient-Specific Hemodynamics of an Aortic Coarctatiodictated according to the total flow rates at each branch. The simulations considered two cases of rest and stress flow conditions. The time-dependent pressure in the proximal and distal planes and pressure gradients along the aorta are reported for rest and stress conditions.
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Automatic Segmentation of the Left Atrium on CT Imagestients with ventricular dysfunction as a booster pump to augment ventricular volume. A method based on active contours models with gradient vector flow is proposed in this paper and applied for left atrium segmentation. At first, a contrast enhancement is applied to improve the image quality. The au
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Model-Based Segmentation of the Left Atrium in CT and MRI Scansparoxysmal or persistent atrial fibrillation through pulmonary vein isolation. During the intervention endocardial surface potentials from a tracked mapping catheter are recorded with respect to a static patient specific surface geometry. The purpose of the presented work is to compare two different
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