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Benedict Verhegghe

Researcher at Ghent University

Publications -  21
Citations -  1075

Benedict Verhegghe is an academic researcher from Ghent University. The author has contributed to research in topics: Stent & Mesh generation. The author has an hindex of 13, co-authored 21 publications receiving 909 citations.

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Carotid artery stenting simulation: from patient-specific images to finite element analysis.

TL;DR: Finite element analysis is used to evaluate the performance of three self-expanding stent designs in a carotid artery (CA) and suggests that the laser-cut closed-cell design provides a higher lumen gain and the stent configuration and stent oversizing have a limited impact on the vessel straightening.
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On the use of in vivo measured flow rates as boundary conditions for image-based hemodynamic models of the human aorta: implications for indicators of abnormal flow.

TL;DR: In subject-specific computational hemodynamics models of the human aorta the imposition of BC settings based on non-invasively measured flow rate waveforms influences indicators of abnormal flow to a large extent and a BCs set-up assuring realistic, subject- specific instantaneous flow rate distribution must be applied when BCs such as flow rates are prescribed.
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Patient-specific computational fluid dynamics: structured mesh generation from coronary angiography

TL;DR: Hexahedral meshes are superior to tetrahedral/prismatic meshes and should be preferred for the calculation of the Wall Shear Stress (WSS) in patient-specific simulations.
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Patient-Specific Computer Modeling to Predict Aortic Regurgitation After Transcatheter Aortic Valve Replacement.

TL;DR: Outcome of transcatheter aortic valve replacement (TAVR) depends on a combination of patient-, procedure- and operator-related variables, and specific device–host-related interactions may also be involved.
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Virtual evaluation of stent graft deployment: A validated modeling and simulation study☆

TL;DR: Finite element computer simulations can be used to quantify mechanical parameters, such as neck dilations, radial forces and stresses in the device, that are difficult or impossible to obtain from medical imaging.