Medizinische Universität Graz Austria/Österreich - Forschungsportal - Medical University of Graz

Logo MUG-Forschungsportal

Gewählte Publikation:

SHR Neuro Krebs Kardio Lipid Stoffw Microb

Karabelas, E; Longobardi, S; Fuchsberger, J; Razeghi, O; Rodero, C; Strocchi, M; Rajani, R; Haase, G; Plank, G; Niederer, S.
Global Sensitivity Analysis of Four Chamber Heart Hemodynamics Using Surrogate Models.
IEEE Trans Biomed Eng. 2022; 69(10):3216-3223 Doi: 10.1109/TBME.2022.3163428 [OPEN ACCESS]
Web of Science PubMed PUBMED Central FullText FullText_MUG


Co-Autor*innen der Med Uni Graz
Karabelas Elias
Plank Gernot

Dimensions Citations:

Plum Analytics:

Scite (citation analytics):

Computational Fluid Dynamics (CFD) is used to assist in designing artificial valves and planning procedures, focusing on local flow features. However, assessing the impact on overall cardiovascular function or predicting longer-term outcomes may requires more comprehensive whole heart CFD models. Fitting such models to patient data requires numerous computationally expensive simulations, and depends on specific clinical measurements to constrain model parameters, hampering clinical adoption. Surrogate models can help to accelerate the fitting process while accounting for the added uncertainty. We create a validated patient-specific four-chamber heart CFD model based on the Navier-Stokes-Brinkman (NSB) equations and test Gaussian Process Emulators (GPEs) as a surrogate model for performing a variance-based global sensitivity analysis (GSA). GSA identified preload as the dominant driver of flow in both the right and left side of the heart, respectively. Left-right differences were seen in terms of vascular outflow resistances, with pulmonary artery resistance having a much larger impact on flow than aortic resistance. Our results suggest that GPEs can be used to identify parameters in personalized whole heart CFD models, and highlight the importance of accurate preload measurements.
Find related publications in this database (using NLM MeSH Indexing)
Computer Simulation - administration & dosage
Heart-Assist Devices - administration & dosage
Hemodynamics - administration & dosage
Humans - administration & dosage
Hydrodynamics - administration & dosage
Models, Cardiovascular - administration & dosage

Find related publications in this database (Keywords)
Computational modeling
Mathematical models
Biological system modeling
Computational fluid dynamics
Biomedical computing
finite element analysis
fluid dynamics
gaussian processes
scientific computing
© Med Uni Graz Impressum