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Book
Impressions de Scandinavie
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Year: 1898 Publisher: Anvers De Backer

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Book
De Finlande au Caucase
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Year: 1900 Publisher: Anvers Imprimerie Centrale

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De Finlande au Caucase.
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Year: 1900 Publisher: Anvers Imprimerie centrale

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Book
Souvenirs d'Orient.
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Year: 1899 Publisher: Anvers De Backer

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CVP, Turnhout, Jules Mertens, kandidaat wetgevende verkiezingen van 26 maart 1961 : portret
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Year: 1961

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Book
De Finlande au Caucasse
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Year: 1900 Publisher: Anvers Imprimerie centrale

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Dissertation
3D Shape Correspondence and Anatomical Landmark Prediction on the Human Palate and Dentition
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Year: 2020 Publisher: Leuven KU Leuven. Faculteit Ingenieurswetenschappen

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An accurate model of the variation of dental and palatal shape could be of great use for improved phenotype-based diagnostics, i.e. diagnostics based on observable traits of the person. Indeed, it would enable a meaningful characterization of a person's mouth morphology with respect to the population which could uncover important genetic predispositions for dental anomalies. In this light, a set of 400 digitized dental casts, acquired in an orthodontic context, is used to model the normal-range variation of maxillary (upper) dental arch and palate shape. A prerequisite to enable accurate analysis of the shape variation in the population is the anatomical correspondence between the geometric data objects. A specialized surface registration pipeline developed by White et al. and collected in the MeshMonk open source toolbox [1] is used to establish the dense, anatomical shape correspondence between the dental casts. By validating the resulting spatial correspondence on a sparse set of anatomical landmarks, it is shown that MeshMonk's registration pipeline adequately establishes the desired shape correspondence on the dental cast data set being robust with respect to the different types of dentition present. Subsequently, a system for automatic landmark placement on the dental casts is developed. To do so, a neural network implementation by L. Ge et al. [2] is slightly adapted for the task of sparse landmark prediction. The resulting Dental PointNet, trained as a supervised, regression problem, applies hierarchical point set learning to extract multi-resolution features. Comparison of the sparse landmark predictions and their corresponding, manual annotations showed that Dental PointNet is able to robustly localize the sparse anatomical landmarks within a couple of millimeters from their ground truth locations. As such, Dental PointNet enables full automation of the MeshMonk registration pipeline.

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Dissertation
The hemodynamic impact of an aneurysm in the thoracic aorta: a numerical analysis
Authors: --- --- ---
Year: 2019 Publisher: Leuven KU Leuven. Faculteit Ingenieurswetenschappen

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Initiation and progression of thoracic aortic aneurysms is closely related with the vascular growth and remodelling process. It is understood that the hemodynamics of the blood flow mechanically stimulate the arterial tissue and in this way affect this mechano-biological process. In the light of development of models for prediction of thoracic aneurysm initiation and progression, it is therefore crucial that blood hemodynamics can reliably be estimated in both healthy as aneurysmal thoracic aortas based on in vivo acquired data. This study presents the construction of a robust, patient-specific computational fluid dynamics (CFD) model based on in vivo acquired MRI data of a surgically induced aneurysm in the descending part of the thoracic sheep aorta. MRI data was acquired at three time points after surgery over a six months study period which enabled a longitudinal comparison of the hemodynamic quantities and geometrical progression of the aneurysmal region. The wall shear stress (WSS) and its dynamic variation throughout the cardiac cycle are known to have an important impact on vascular remodelling and are therefore considered as the main hemodynamic quantities of interest. Velocity fields obtained with CFD modelling showed great correspondence with the velocity fields obtained from PC-MRI measurements in and around the thoracic aortic aneurysm (TAA), a good indication for trustworthy WSS quantification. The presence of the aneurysm clearly disturbs the blood flow. This flow disturbance becomes more important as the size of the aneurysm increases and is observed to have a big impact on the dynamical behaviour of the WSS vector throughout the cardiac cycle, characterised by the oscillatory shear index. Regions of high WSS values are observed especially near the distal neck of the TAA right after surgery, with time-averaged WSS values reaching 7.92 Pa and peak WSS values reaching 33.91 Pa, almost three times higher as in the healthy aorta. Interestingly, these regions of high WSS seem to be associated with accelerated aneurysm progression. To enable a more quantitative comparison of the hemodynamic changes over time, physiological variation of the blood flow between the CFD models should be eliminated in the future. For a more accurate quantification of the WSS in and around the TAA, deformation of the arterial wall could be considered in a more complete fluid structure interaction (FSI) model as a possible improvement of the presented CFD model.

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