Medizinische Universität Graz Austria/Österreich - Forschungsportal - Medical University of Graz
Gewählte Publikation:
SHR Neuro Krebs Kardio Lipid Stoffw Microb
Camara, O; Sermesant, M; Lamata, P; Wang, L; Pop, M; Relan, J; De Craene, M; Delingette, H; Liu, H; Niederer, S; Pashaei, A; Plank, G; Romero, D; Sebastian, R; Wong, KC; Zhang, H; Ayache, N; Frangi, AF; Shi, P; Smith, NP; Wright, GA.
Inter-model consistency and complementarity: Learning from ex-vivo imaging and electrophysiological data towards an integrated understanding of cardiac physiology.
Prog Biophys Mol Biol. 2011; 107(1):122-133
Doi: 10.1016/j.pbiomolbio.2011.07.007
Web of Science
PubMed
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- Co-Autor*innen der Med Uni Graz
- Plank Gernot
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- Abstract:
- Computational models of the heart at various scales and levels of complexity have been independently developed, parameterised and validated using a wide range of experimental data for over four decades. However, despite remarkable progress, the lack of coordinated efforts to compare and combine these computational models has limited their impact on the numerous open questions in cardiac physiology. To address this issue, a comprehensive dataset has previously been made available to the community that contains the cardiac anatomy and fibre orientations from magnetic resonance imaging as well as epicardial transmembrane potentials from optical mapping measured on a perfused ex-vivo porcine heart. This data was used to develop and customize four models of cardiac electrophysiology with different level of details, including a personalized fast conduction Purkinje system, a maximum a posteriori estimation of the 3D distribution of transmembrane potential, the personalization of a simplified reaction-diffusion model, and a detailed biophysical model with generic conduction parameters. This study proposes the integration of these four models into a single modelling and simulation pipeline, after analyzing their common features and discrepancies. The proposed integrated pipeline demonstrates an increase prediction power of depolarization isochrones in different pacing conditions.
- Find related publications in this database (using NLM MeSH Indexing)
- Animals -
- Biophysical Processes -
- Diffusion -
- Electrophysiological Processes -
- Heart - anatomy & histology
- Magnetic Resonance Imaging -
- Membrane Potentials -
- Models, Biological -
- Pericardium - anatomy & histology
- Purkinje Fibers - anatomy & histology
- Reproducibility of Results -
- Swine -
- Systems Integration -
- Time Factors -
- Find related publications in this database (Keywords)
- Heart electrophysiology
- Model integration
- Optical mapping data
- Parameter personalization
- Phenomenological models
- Fast conduction Purkinje system
- Detailed ionic models
- Maximum a posteriori estimation