The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/15043599

Martijn Hoeijmakers; Wouter Huberts; Frans N. van de Vosse; M.C.M. Rutten (2021): The impact of shape uncertainty on aortic-valve pressure-drop computations: supplementary data files. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/15043599.v1

Dataset

• Biomedical Engineering

aortic valve, aortic valve disease, computational fluid dynamics, statistical shape model, surface mesh

CC BY-NC 4.0

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by Martijn Hoeijmakers , Wouter Huberts , Frans N. van de Vosse , M.C.M. Rutten

This data-set represents data that was used in:
The impact of shape uncertainty on aortic-valve pressure-drop computations. M.J.M.M. Hoeijmakers, W. Huberts, M.C.M. Rutten, F.N. van de Vosse, 2021. Int. J. Numer. Method. Biomed. Eng.
This data-set includes:- Resampled segmentations of 74 aortic valves with no, mild, moderate, or severe aortic stenosis - Corresponding extruded (10R) and un-extruded (0.1R) surface meshes in .vtk format.- *_R0.1.txt: centerline points and normals.- *_R10.txt: centerline points and normals that where used to post-process the computational fluid dynamics results. Computed pressures along the centerline on these planes are written to this file as well.
Authors are free to use and explore this data-set for research purposes. For instance these surface meshes can be used to generate volumetric meshes (not included) of the enclosed domain for the purpose of computing the flow field(s).

• 2021-08-11 first online, published, posted

4TU.ResearchData

VTK

The impact of shape uncertainty on aortic-valve pressure-drop computations

Eindhoven University of Technology, Department of Biomedical Engineering, Eindhoven, The Netherlands;
Ansys, Utrecht, The Netherlands;
Philips Research, Hamburg, Germany