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
Files
SIMCor_D6.3_Uncertainty quantification for input data_CHA_22-09-2022_signed.pdf
Files
(1.4 MB)
Name | Size | Download all |
---|---|---|
md5:0652e97298b57c4f7633eec701334ce8
|
1.4 MB | Preview Download |