| Inter-model consistency and complementarity: Learning from ex-vivo imaging and electrophysiological data towards an integrated understanding of cardiac physiology. | |
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MedLine Citation:
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PMID: 21791225 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
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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. |
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Authors:
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O Camara; M Sermesant; P Lamata; L Wang; M Pop; J Relan; M De Craene; H Delingette; H Liu; S Niederer; A Pashaei; G Plank; D Romero; R Sebastian; K C L Wong; H Zhang; N Ayache; A F Frangi; P Shi; N P Smith; G A Wright |
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Publication Detail:
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Type: JOURNAL ARTICLE Date: 2011-7-20 |
Journal Detail:
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Title: Progress in biophysics and molecular biology Volume: - ISSN: 1873-1732 ISO Abbreviation: - Publication Date: 2011 Jul |
Date Detail:
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Created Date: 2011-7-27 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 0401233 Medline TA: Prog Biophys Mol Biol Country: - |
Other Details:
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Languages: ENG Pagination: - Citation Subset: - |
Copyright Information:
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Copyright © 2011 Elsevier Ltd. All rights reserved. |
Affiliation:
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Center for Computational Imaging and Simulation Technologies in Biomedicine (CISTIB), Universitat Pompeu Fabra, Barcelona, Spain; Networking Biomedical Research Center on Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), Barcelona, Spain. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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