Published September 22, 2022 | Version v1
Project deliverable Open

SIMCor. Deliverable 6.3 - Uncertainty quantification for input data (CHA, M21)

  • 1. Charité – Universitätsmedizin Berlin
  • 2. CharitéCharité – Universitätsmedizin Berlin

Description

This document describes the uncertainty analysis of geometrical and functional model input data obtained by processing of either computed tomography (CT) or magnetic resonance imaging (MRI) data as well as sensor data. Uncertainties introduced during this image or sensor data processing phase might propagate to uncertainties in calculated parameters and boundary conditions, either modelled or directly measured, for simulations. In addition, possible uncertainties in geometry-derived morphometric or hemodynamic parameters are assessed. Uncertainty quantification of input data used to set boundary conditions in simulations is an essential part validating the proposed simulation methods within SIMCor as part of WP6 - Data processing for anatomy and function.

Notes

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.

Files

SIMCor_D6.3_Uncertainty quantification for input data_CHA_22-09-2022_signed.pdf

Additional details

Funding

SIMCOR – In Silico testing and validation of Cardiovascular Implantable devices 101017578
European Commission