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In this document, we report the results of T8.4 - Fast device deployment modelling. The goal of this task is to develop computationally efficient, physics-based models for simulation of device deployment and implement a prototype for the SIMCor use cases of PAPS and TAVI. The approach has to maintain an appropriate level of accuracy while simultaneously reducing the model complexity and numerical costs in comparison to the high-fidelity finite element approaches, such as the simulation model described in D8.6 - Report on 3D finite element simulation (PHI, M24). Only simplified parameterization as well as simple geometric anatomy and device representations are required. Such a simplified parameterization reduces preparation as well as simulation time and facilitates the automated processing of a large cohort. It enables interactive and automatic placement, e.g., regarding the orientation or angulation of devices inside a vessel. SIMCor (In-Silico testing and validation of Cardiovascular IMplantable devices) has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 101017578.
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |