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Image-based High-resolution In-silico Modeling of Total Cardiac Function

Total Cost €


EC-Contrib. €






 InsiliCardio project word cloud

Explore the words cloud of the InsiliCardio project. It provides you a very rough idea of what is the project "InsiliCardio" about.

quantitative    aid    environment    unprecedented    prof    function    regards    modal    ideal    harness    uc    datasets    relationships    ucsf    validation    technologies    paving    had    collaborators    shawn    network    clinical    translational    strategies    hold    models    electro    gaining    advances    health    heart    pressure    synergistically    expertise    effect    proven    lab    total    combining    orthogonal    mechanistic    flow    plank    dhz    berlin    building    platform    indepence    silico    tissue    incubator    labs    vessels    cardiac    parametrization    academic    berkeley    fluidic    uuml    integration    core    group    verified    endeavor    anatomy    infrastructure    optimal    image    maintaining    disease    mug    industrial    electrophysiology    vast    full    therapeutic    imaging       shared    efficiency    gernot    computational    hemodynamics    enabled    medical    modeling    relatively    fast    return    combined    performance    modest    blood    frameworks    pumping    hne    outflow    supervisors    biophysically    mechanics    entirely    collaborations    computing    parametrized    mechano    shadden    titus    feasible    soft    model    input    attached   

Project "InsiliCardio" data sheet

The following table provides information about the project.


Organization address
city: GRAZ
postcode: 8036

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Austria [AT]
 Project website
 Total cost 218˙176 €
 EC max contribution 218˙176 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2016
 Funding Scheme MSCA-IF-GF
 Starting year 2017
 Duration (year-month-day) from 2017-03-01   to  2019-08-31


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    MEDIZINISCHE UNIVERSITAT GRAZ AT (GRAZ) coordinator 218˙176.00


 Project objective

Advances in medical imaging have enabled unprecedented ability to image cardiac anatomy and function. So far these technologies have had relatively modest clinical impact as the analysis of such rich multi-modal datasets has proven challenging. In silico models hold vast potential to better harness such datasets by enabling their integration into quantitative frameworks that can aid in gaining better mechanistic insight into cardiac function in health and disease, and thus paving the way towards optimal therapeutic strategies.

Our objective is to develop the most advanced biophysically detailed in-silico model of total electro-mechano-fluidic function of the heart. This model will be parametrized, verified and used to study cause-effect relationships between flow and pressure and their impact upon pumping performance. A novel set of features such as combined models of both heart and attached outflow vessels and the computational efficiency will provide a unique platform for translational research.

This ambitious endeavor is feasible only by combining the expertise of the applicant in modeling soft tissue mechanics and his supervisors in modeling electrophysiology (Gernot Plank, MUG) and blood flow (Shawn Shadden, UC Berkeley). Clinical input and datasets for model parametrization and validation are provided by Titus Kühne (DHZ Berlin) and by clinical collaborators of Prof. Shadden at UCSF. During the return-phase, the applicant will use the infrastructure of Prof. Plank’s lab and the large network of academic and industrial collaborations as an incubator for building up his own research group in computational hemodynamics. This is ideal in many regards, as the expertise of the applicant's group will be entirely orthogonal to the expertise in Prof. Plank's lab, thus promoting a fast pathway towards full indepence, and core expertise necessary for further developing and maintaining a highly complex computing environment is synergistically shared between the labs.


year authors and title journal last update
List of publications.
2020 Marina Strocchi, Matthias A.F. Gsell, Christoph M. Augustin, Orod Razeghi, Caroline H. Roney, Anton J. Prassl, Edward J. Vigmond, Jonathan M. Behar, Justin S. Gould, Christopher A. Rinaldi, Martin J. Bishop, Gernot Plank, Steven A. Niederer
Simulating ventricular systolic motion in a four-chamber heart model with spatially varying robin boundary conditions to model the effect of the pericardium
published pages: 109645, ISSN: 0021-9290, DOI: 10.1016/j.jbiomech.2020.109645
Journal of Biomechanics 2020-04-02
2020 Justyna A. Niestrawska, Christoph M. Augustin, Gernot Plank
Computational Modeling of Cardiac Growth and Remodeling in Pressure Overloaded Hearts — Linking Microstructure to Organ Phenotype
published pages: , ISSN: 1742-7061, DOI: 10.1016/j.actbio.2020.02.010
Acta Biomaterialia 2020-04-02
2018 Anita Emmerstorfer-Augustin, Christoph M. Augustin, Shadi Shams, Jeremy Thorner
Tracking yeast pheromone receptor Ste2 endocytosis using fluorogen-activating protein tagging
published pages: 2720-2736, ISSN: 1059-1524, DOI: 10.1091/mbc.E18-07-0424
Molecular Biology of the Cell 29/22 2020-04-02
2019 Christoph M. Augustin, Thomas E. Fastl, Aurel Neic, Chiara Bellini, John Whitaker, Ronak Rajani, Mark D. O’Neill, Martin J. Bishop, Gernot Plank, Steven A. Niederer
The impact of wall thickness and curvature on wall stress in patient-specific electromechanical models of the left atrium
published pages: , ISSN: 1617-7959, DOI: 10.1007/s10237-019-01268-5
Biomechanics and Modeling in Mechanobiology 2020-04-02
2019 Elias Karabelas, Gundolf Haase, Gernot Plank, Christoph M. Augustin
Versatile stabilized finite element formulations for nearly and fully incompressible solid mechanics
published pages: , ISSN: 0178-7675, DOI: 10.1007/s00466-019-01760-w
Computational Mechanics 2020-04-02
2018 Anita Emmerstorfer-Augustin, Christoph M. Augustin, Shadi Shams, Jeremy Thorner
Tracking yeast pheromone receptor Ste2 endocytosis using fluorogen-activating protein tagging
published pages: 2720-2736, ISSN: 1059-1524, DOI: 10.1091/mbc.e18-07-0424
Molecular Biology of the Cell 29/22 2020-04-02
2018 Matthias A. F. Gsell, Christoph M. Augustin, Anton J. Prassl, Elias Karabelas, Joao F. Fernandes, Marcus Kelm, Leonid Goubergrits, Titus Kuehne, Gernot Plank
Assessment of wall stresses and mechanical heart power in the left ventricle: Finite element modeling versus Laplace analysis
published pages: e3147, ISSN: 2040-7939, DOI: 10.1002/cnm.3147
International Journal for Numerical Methods in Biomedical Engineering 34/12 2020-04-02
2018 Elias Karabelas, Matthias A. F. Gsell, Christoph M. Augustin, Laura Marx, Aurel Neic, Anton J. Prassl, Leonid Goubergrits, Titus Kuehne, Gernot Plank
Towards a Computational Framework for Modeling the Impact of Aortic Coarctations Upon Left Ventricular Load
published pages: , ISSN: 1664-042X, DOI: 10.3389/fphys.2018.00538
Frontiers in Physiology 9 2020-04-02
2018 Kristin L. Leskoske, Françoise M. Roelants, Anita Emmerstorfer-Augustin, Christoph M. Augustin, Edward P. Si, Jennifer M. Hill, Jeremy Thorner
Phosphorylation by the stress-activated MAPK Slt2 down-regulates the yeast TOR complex 2
published pages: 1576-1590, ISSN: 0890-9369, DOI: 10.1101/gad.318709.118
Genes & Development 32/23-24 2020-04-02

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