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Data underlying the publication: Generation of synthetic aortic valve stenosis geometries for in silico trials

  • Sabine Verstraeten (Creator)
  • Martijn Hoeijmakers (Creator)
  • Pim Tonino (Creator)
  • Jan Brüning (Creator)
  • Claudio Capelli (Creator)
  • Frans Van De Vosse (Creator)
  • Wouter Huberts (Creator)

Dataset/Software

Description

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.

Subjects

Aortic stenosis, Biomedical Engineering, Engineering, FOS: Medical engineering, Statistical shape modelling, Synthetic geometries, TAVI, Time: 2023, Virtual cohort
Date made available12 Oct 2023
Publisher4TU.ResearchData
  • Generation of synthetic aortic valve stenosis geometries for in silico trials

    Verstraeten, S., Hoeijmakers, M., Tonino, P., Brüning, J., Capelli, C., van de Vosse, F. & Huberts, W., Jan 2024, In: International Journal for Numerical Methods in Biomedical Engineering. 40, 1, 21 p., e3778.

    Research output: Contribution to journal › Article › Academic › peer-review

    Open Access

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