Modelling the action potential propagation in a heart with structural heterogeneities: From high‐resolution MRI to numerical simulations
Mathematical modelling and numerical simulation in cardiac electrophysiology have already been studied extensively. However, there is a clear lack of techniques and methodologies for studying the propagation of action potential in a heart with structural defects. In this article, we present a modifi...
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Veröffentlicht in: | International journal for numerical methods in biomedical engineering 2021-11, Vol.37 (11), p.e3322-n/a |
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description | Mathematical modelling and numerical simulation in cardiac electrophysiology have already been studied extensively. However, there is a clear lack of techniques and methodologies for studying the propagation of action potential in a heart with structural defects. In this article, we present a modified version of the bidomain model, derived using homogenisation techniques with the assumption of existence of diffusive inclusions in the cardiac tissue. The diffusive inclusions represent regions without electrically active myocytes, for example, fat, fibrosis, and so forth. We present an application of this model to a rat heart. Starting from high‐resolution MRI, the geometry of the heart is built and meshed using image processing techniques. We perform a study of the effects of tissue heterogeneities induced by diffusive inclusions on the velocity and shape of the depolarisation wavefront. We present several test cases with different geometries of diffusive inclusions. We reach the conclusion that the conduction velocity is not affected in the best cases, while it is affected by up to 76% in the worst case scenario. Additionally, the shape of the wavefront was affected in some cases.
We present a modified version of the bidomain model that accounts for structural defects in cardiac tissue, for example, fat, fibrosis, and so forth where the conductivity tensors in the bidomain model are derived and calculated based on the shape and size of these defects. We demonstrate the application of this model on a rat heart, using its high‐resolution MRI data. We perform a study of the effects of tissue heterogeneities induced by periodic diffusive inclusions on the velocity and shape of the depolarisation wavefront. |
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We present a modified version of the bidomain model that accounts for structural defects in cardiac tissue, for example, fat, fibrosis, and so forth where the conductivity tensors in the bidomain model are derived and calculated based on the shape and size of these defects. We demonstrate the application of this model on a rat heart, using its high‐resolution MRI data. We perform a study of the effects of tissue heterogeneities induced by periodic diffusive inclusions on the velocity and shape of the depolarisation wavefront.</description><identifier>ISSN: 2040-7939</identifier><identifier>EISSN: 2040-7947</identifier><identifier>DOI: 10.1002/cnm.3322</identifier><identifier>PMID: 32052589</identifier><language>eng</language><publisher>Hoboken, USA: John Wiley & Sons, Inc</publisher><subject>Action potential ; bidomain model ; Depolarization ; Electrophysiology ; Fibrosis ; Heart ; heterogeneous conductivities ; Image processing ; image‐based modelling ; Inclusions ; Magnetic resonance imaging ; Mathematical models ; Mathematics ; multiscale modelling ; Myocytes ; Propagation ; Velocity ; Wave fronts</subject><ispartof>International journal for numerical methods in biomedical engineering, 2021-11, Vol.37 (11), p.e3322-n/a</ispartof><rights>2020 John Wiley & Sons, Ltd.</rights><rights>2021 John Wiley & Sons, Ltd.</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c3482-98a30fabed810e825226f628df242ebc219f027ac3e096d2870b30e68a23c513</cites><orcidid>0000-0001-7784-9270 ; 0000-0003-2687-3232</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fcnm.3322$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fcnm.3322$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>230,314,780,784,885,1417,27924,27925,45574,45575</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32052589$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://pasteur.hal.science/pasteur-03402684$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Davidović, Anđela</creatorcontrib><creatorcontrib>Coudière, Yves</creatorcontrib><creatorcontrib>Bourgault, Yves</creatorcontrib><title>Modelling the action potential propagation in a heart with structural heterogeneities: From high‐resolution MRI to numerical simulations</title><title>International journal for numerical methods in biomedical engineering</title><addtitle>Int J Numer Method Biomed Eng</addtitle><description>Mathematical modelling and numerical simulation in cardiac electrophysiology have already been studied extensively. However, there is a clear lack of techniques and methodologies for studying the propagation of action potential in a heart with structural defects. In this article, we present a modified version of the bidomain model, derived using homogenisation techniques with the assumption of existence of diffusive inclusions in the cardiac tissue. The diffusive inclusions represent regions without electrically active myocytes, for example, fat, fibrosis, and so forth. We present an application of this model to a rat heart. Starting from high‐resolution MRI, the geometry of the heart is built and meshed using image processing techniques. We perform a study of the effects of tissue heterogeneities induced by diffusive inclusions on the velocity and shape of the depolarisation wavefront. We present several test cases with different geometries of diffusive inclusions. We reach the conclusion that the conduction velocity is not affected in the best cases, while it is affected by up to 76% in the worst case scenario. Additionally, the shape of the wavefront was affected in some cases.
We present a modified version of the bidomain model that accounts for structural defects in cardiac tissue, for example, fat, fibrosis, and so forth where the conductivity tensors in the bidomain model are derived and calculated based on the shape and size of these defects. We demonstrate the application of this model on a rat heart, using its high‐resolution MRI data. We perform a study of the effects of tissue heterogeneities induced by periodic diffusive inclusions on the velocity and shape of the depolarisation wavefront.</description><subject>Action potential</subject><subject>bidomain model</subject><subject>Depolarization</subject><subject>Electrophysiology</subject><subject>Fibrosis</subject><subject>Heart</subject><subject>heterogeneous conductivities</subject><subject>Image processing</subject><subject>image‐based modelling</subject><subject>Inclusions</subject><subject>Magnetic resonance imaging</subject><subject>Mathematical models</subject><subject>Mathematics</subject><subject>multiscale modelling</subject><subject>Myocytes</subject><subject>Propagation</subject><subject>Velocity</subject><subject>Wave fronts</subject><issn>2040-7939</issn><issn>2040-7947</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNp1kctq3DAUhk1paEIS6BMUQTfdOJWPfJG6C0NzgZkWSvZCIx-PFWzL1aUhu667yjPmSaKZpNNSqDYS4tOHzv9n2duCnhWUwkc9jWeMAbzKjoCWNG9E2bzen5k4zE69v6VpgRCiYW-yQwa0goqLo-zXyrY4DGbakNAjUToYO5HZBpyCUQOZnZ3VRu1uzUQU6VG5QO5M6IkPLuoQXcJ6DOjsBic0waD_RC6cHUlvNv3jzweH3g5xp1h9uybBkimO6IxOD70Z47DT-5PsoFODx9OX_Ti7ufh8s7jKl18vrxfny1yzkkMuuGK0U2tseUGRQwVQdzXwtoMScK2hEB2FRmmGVNQt8IauGcWaK2C6Kthxlj9rezXI2ZlRuXtplZFX50s5Kx8wOklZSaHm5Y8t_-GZT1F8j-iDHI3XKTM1oY1eAqvKhtUpz4S-_we9tdFNaRgJlWiqrfUvoXbWe4fd_hcFldtGZWpUbhtN6LsXYVyP2O7B3_39GebODHj_X5FcfFnthE9fQau2</recordid><startdate>202111</startdate><enddate>202111</enddate><creator>Davidović, Anđela</creator><creator>Coudière, Yves</creator><creator>Bourgault, Yves</creator><general>John Wiley & Sons, Inc</general><general>Wiley Subscription Services, Inc</general><general>John Wiley and Sons</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QO</scope><scope>7SC</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>JQ2</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>P64</scope><scope>7X8</scope><scope>1XC</scope><orcidid>https://orcid.org/0000-0001-7784-9270</orcidid><orcidid>https://orcid.org/0000-0003-2687-3232</orcidid></search><sort><creationdate>202111</creationdate><title>Modelling the action potential propagation in a heart with structural heterogeneities: From high‐resolution MRI to numerical simulations</title><author>Davidović, Anđela ; Coudière, Yves ; Bourgault, Yves</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3482-98a30fabed810e825226f628df242ebc219f027ac3e096d2870b30e68a23c513</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Action potential</topic><topic>bidomain model</topic><topic>Depolarization</topic><topic>Electrophysiology</topic><topic>Fibrosis</topic><topic>Heart</topic><topic>heterogeneous conductivities</topic><topic>Image processing</topic><topic>image‐based modelling</topic><topic>Inclusions</topic><topic>Magnetic resonance imaging</topic><topic>Mathematical models</topic><topic>Mathematics</topic><topic>multiscale modelling</topic><topic>Myocytes</topic><topic>Propagation</topic><topic>Velocity</topic><topic>Wave fronts</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Davidović, Anđela</creatorcontrib><creatorcontrib>Coudière, Yves</creatorcontrib><creatorcontrib>Bourgault, Yves</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>Biotechnology Research Abstracts</collection><collection>Computer and Information Systems Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><collection>Hyper Article en Ligne (HAL)</collection><jtitle>International journal for numerical methods in biomedical engineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Davidović, Anđela</au><au>Coudière, Yves</au><au>Bourgault, Yves</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Modelling the action potential propagation in a heart with structural heterogeneities: From high‐resolution MRI to numerical simulations</atitle><jtitle>International journal for numerical methods in biomedical engineering</jtitle><addtitle>Int J Numer Method Biomed Eng</addtitle><date>2021-11</date><risdate>2021</risdate><volume>37</volume><issue>11</issue><spage>e3322</spage><epage>n/a</epage><pages>e3322-n/a</pages><issn>2040-7939</issn><eissn>2040-7947</eissn><abstract>Mathematical modelling and numerical simulation in cardiac electrophysiology have already been studied extensively. However, there is a clear lack of techniques and methodologies for studying the propagation of action potential in a heart with structural defects. In this article, we present a modified version of the bidomain model, derived using homogenisation techniques with the assumption of existence of diffusive inclusions in the cardiac tissue. The diffusive inclusions represent regions without electrically active myocytes, for example, fat, fibrosis, and so forth. We present an application of this model to a rat heart. Starting from high‐resolution MRI, the geometry of the heart is built and meshed using image processing techniques. We perform a study of the effects of tissue heterogeneities induced by diffusive inclusions on the velocity and shape of the depolarisation wavefront. We present several test cases with different geometries of diffusive inclusions. We reach the conclusion that the conduction velocity is not affected in the best cases, while it is affected by up to 76% in the worst case scenario. Additionally, the shape of the wavefront was affected in some cases.
We present a modified version of the bidomain model that accounts for structural defects in cardiac tissue, for example, fat, fibrosis, and so forth where the conductivity tensors in the bidomain model are derived and calculated based on the shape and size of these defects. We demonstrate the application of this model on a rat heart, using its high‐resolution MRI data. We perform a study of the effects of tissue heterogeneities induced by periodic diffusive inclusions on the velocity and shape of the depolarisation wavefront.</abstract><cop>Hoboken, USA</cop><pub>John Wiley & Sons, Inc</pub><pmid>32052589</pmid><doi>10.1002/cnm.3322</doi><tpages>19</tpages><orcidid>https://orcid.org/0000-0001-7784-9270</orcidid><orcidid>https://orcid.org/0000-0003-2687-3232</orcidid></addata></record> |
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subjects | Action potential bidomain model Depolarization Electrophysiology Fibrosis Heart heterogeneous conductivities Image processing image‐based modelling Inclusions Magnetic resonance imaging Mathematical models Mathematics multiscale modelling Myocytes Propagation Velocity Wave fronts |
title | Modelling the action potential propagation in a heart with structural heterogeneities: From high‐resolution MRI to numerical simulations |
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