The DOI displayed 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: 10.4121/3f6a3788-96e6-4b81-b37b-f07eeec85965

Verstraeten, Sabine; Martijn Hoeijmakers; Tonino, Pim; Brüning, Jan; Capelli, Claudio et. al. (2023): Data underlying the publication: Generation of synthetic aortic valve stenosis geometries for in silico trials. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/3f6a3788-96e6-4b81-b37b-f07eeec85965.v1

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Categories

• Biomedical Engineering
• Engineering

Keywords

Aortic stenosis Statistical shape modelling Synthetic geometries TAVI Virtual cohort

Time coverage

2023

Licence

CC BY 4.0

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by Sabine Verstraeten , Martijn Hoeijmakers , Pim Tonino, Jan Brüning, Claudio Capelli, Frans van de Vosse, Wouter Huberts

This data set contains the data to reproduce the figures from the manuscript: 'Generation of synthetic aortic valve stenosis geometries for in silico trials'.

More specifically, the data set contains:

1) Real cohort of aortic valve geometries on which the statistical shape model of this manuscript is based.

2) Virtual cohorts with synthetic geometries, generated for this manuscript.

3) Figure scripts and data needed to reproduce figures of the manuscript.

See the README.txt file for more information about the folders and files in the data set.

History

• 2023-10-12 first online, published, posted

Publisher

4TU.ResearchData

Format

The geometries are in .stl format, other data in .xlsx or .mat format, and the code to reproduce figures in .m (MATLAB) format.

Associated peer-reviewed publication

Generation of synthetic aortic valve stenosis geometries for in silico trials

Funding

• H2020 project SIMCor (grant code 101017578)

Organizations

Eindhoven University of Technology, Biomedical Engineering, Cardiovascular Biomechanics