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Augustin, CM; Crozier, A; Neic, A; Prassl, AJ; Karabelas, E; Ferreira da Silva, T; Fernandes, JF; Campos, F; Kuehne, T; Plank, G.
Patient-specific modeling of left ventricular electromechanics as a driver for haemodynamic analysis.
Europace. 2016; 18(suppl 4):iv121-iv129-iv121-iv129 Doi: 10.1093/europace/euw369 [OPEN ACCESS]
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Führende Autor*innen der Med Uni Graz
Augustin Christoph
Prassl Anton
Co-Autor*innen der Med Uni Graz
Campos Fernando Otaviano
Karabelas Elias
Neic Aurel-Vasile
Plank Gernot

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Models of blood flow in the left ventricle (LV) and aorta are an important tool for analysing the interplay between LV deformation and flow patterns. Typically, image-based kinematic models describing endocardial motion are used as an input to blood flow simulations. While such models are suitable for analysing the hemodynamic status quo, they are limited in predicting the response to interventions that alter afterload conditions. Mechano-fluidic models using biophysically detailed electromechanical (EM) models have the potential to overcome this limitation, but are more costly to build and compute. We report our recent advancements in developing an automated workflow for the creation of such CFD ready kinematic models to serve as drivers of blood flow simulations. EM models of the LV and aortic root were created for four pediatric patients treated for either aortic coarctation or aortic valve disease. Using MRI, ECG and invasive pressure recordings, anatomy as well as electrophysiological, mechanical and circulatory model components were personalized. The implemented modeling pipeline was highly automated and allowed model construction and execution of simulations of a patient's heartbeat within 1 day. All models reproduced clinical data with acceptable accuracy. Using the developed modeling workflow, the use of EM LV models as driver of fluid flow simulations is becoming feasible. While EM models are costly to construct, they constitute an important and nontrivial step towards fully coupled electro-mechano-fluidic (EMF) models and show promise as a tool for predicting the response to interventions which affect afterload conditions. © The Author 2016. Published by Oxford University Press on behalf of the European Society of Cardiology.
Find related publications in this database (using NLM MeSH Indexing)
Action Potentials -
Adolescent -
Aortic Coarctation - diagnosis
Aortic Coarctation - physiopathology
Aortic Coarctation - therapy
Aortic Valve - physiopathology
Automation -
Biomechanical Phenomena -
Cardiac Catheterization -
Child -
Electrocardiography -
Electrophysiologic Techniques, Cardiac -
Female -
Heart Rate -
Heart Valve Diseases - diagnosis
Heart Valve Diseases - physiopathology
Heart Valve Diseases - therapy
Hemodynamics -
Humans -
Magnetic Resonance Imaging -
Male -
Models, Anatomic -
Models, Cardiovascular -
Patient-Specific Modeling -
Predictive Value of Tests -
Reproducibility of Results -
Signal Processing, Computer-Assisted -
Treatment Outcome -
Ventricular Function, Left -
Workflow -

Find related publications in this database (Keywords)
Left ventricular electromechanics
Computer model
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