Conference paper Open Access
Non-parametric statistical shape modelling for in silico trials of TAVI
Verstraeten, Sabine; Suasso de Lima de Prado, Damián; Hoeijmakers, Martijn; Van de Vosse, Frans; Huberts, Wouter
In silico clinical trials are a promising method to increase efficacy and safety of trans-catheter aortic valve implantation (TAVI) devices. Synthetic aortic stenosis (AS) valve geometries for in silico trials can be created by using a Statistical Shape Model (SSM). SSM methods used in previous studies, have two disadvantages: (1) They require consistent inter-patient topology; (2) These methods do not consider the relation between shape features and outputs of interest. By considering output related features, the geometries may be described with fewer parameters. Therefore, the aim of this study was to set up a non-parametric SSM for AS valve geometries and take into account the output of interest: the pressure drop across the aortic valve (Δp).
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- Publication date:
- September 6, 2022
- DOI:
-
- Grants:
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European Commission:
- SIMCOR - In Silico testing and validation of Cardiovascular Implantable devices (101017578)
- Meeting:
- Virtual Physiological Human Conference 2022, Porto, Portugal, 6-9 September 2022
- Communities:
- License (for files):
- Creative Commons Attribution 4.0 International