Verstraeten, Sabine;
Hoeijmakers, Martijn;
Tonino, Pim;
Brüning, Jan;
Capelli, Claudio;
van de Vosse, Frans;
Huberts, Wouter;
(2023)
Generation of synthetic aortic valve stenosis geometries for in silico trials.
International Journal for Numerical Methods in Biomedical Engineering
, Article e3778. 10.1002/cnm.3778.
(In press).
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Abstract
In silico trials are a promising way to increase the efficiency of the development, and the time to market of cardiovascular implantable devices. The development of transcatheter aortic valve implantation (TAVI) devices, could benefit from in silico trials to overcome frequently occurring complications such as paravalvular leakage and conduction problems. To be able to perform in silico TAVI trials virtual cohorts of TAVI patients are required. In a virtual cohort, individual patients are represented by computer models that usually require patient‐specific aortic valve geometries. This study aimed to develop a virtual cohort generator that generates anatomically plausible, synthetic aortic valve stenosis geometries for in silico TAVI trials and allows for the selection of specific anatomical features that influence the occurrence of complications. To build the generator, a combination of non‐parametrical statistical shape modeling and sampling from a copula distribution was used. The developed virtual cohort generator successfully generated synthetic aortic valve stenosis geometries that are comparable with a real cohort, and therefore, are considered as being anatomically plausible. Furthermore, we were able to select specific anatomical features with a sensitivity of around 90%. The virtual cohort generator has the potential to be used by TAVI manufacturers to test their devices. Future work will involve including calcifications to the synthetic geometries, and applying high‐fidelity fluid–structure‐interaction models to perform in silico trials.
| Type: | Article |
|---|---|
| Title: | Generation of synthetic aortic valve stenosis geometries for in silico trials |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1002/cnm.3778 |
| Publisher version: | https://doi.org/10.1002/cnm.3778 |
| Language: | English |
| Additional information: | © 2023 The Authors. International Journal for Numerical Methods in Biomedical Engineering published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
| Keywords: | Aortic valve stenosis, In silico trials, statistical shape modeling, synthetic geometries, transcatheter aortic valve implantation, virtual cohort |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Cardiovascular Science UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Cardiovascular Science > Childrens Cardiovascular Disease |
| URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10181437 |
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