Flow dynamics and energy efficiency of flow in the left ventricle during myocardial infarction
Cardiovascular disease is a leading cause of death worldwide, where myocardial infarction (MI) is a major category. After infarction, the heart has difficulty providing sufficient energy for circulation, and thus, understanding the heart’s energy efficiency is important. We induced MI in a porcine a...
Gespeichert in:
| Veröffentlicht in: | Biomechanics and modeling in mechanobiology 2017-10, Vol.16 (5), p.1503-1517 |
|---|---|
| Hauptverfasser: | , , , , , , , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 1517 |
|---|---|
| container_issue | 5 |
| container_start_page | 1503 |
| container_title | Biomechanics and modeling in mechanobiology |
| container_volume | 16 |
| creator | Vasudevan, Vivek Low, Adriel Jia Jun Annamalai, Sarayu Parimal Sampath, Smita Poh, Kian Keong Totman, Teresa Mazlan, Muhammad Croft, Grace Richards, A. Mark de Kleijn, Dominique P. V. Chin, Chih-Liang Yap, Choon Hwai |
| description | Cardiovascular disease is a leading cause of death worldwide, where myocardial infarction (MI) is a major category. After infarction, the heart has difficulty providing sufficient energy for circulation, and thus, understanding the heart’s energy efficiency is important. We induced MI in a porcine animal model via circumflex ligation and acquired multiple-slice cine magnetic resonance (MR) images in a longitudinal manner—before infarction, and 1 week (acute) and 4 weeks (chronic) after infarction. Computational fluid dynamic simulations were performed based on MR images to obtain detailed fluid dynamics and energy dynamics of the left ventricles. Results showed that energy efficiency flow through the heart decreased at the acute time point. Since the heart was observed to experience changes in heart rate, stroke volume and chamber size over the two post-infarction time points, simulations were performed to test the effect of each of the three parameters. Increasing heart rate and stroke volume were found to significantly decrease flow energy efficiency, but the effect of chamber size was inconsistent. Strong complex interplay was observed between the three parameters, necessitating the use of non-dimensional parameterization to characterize flow energy efficiency. The ratio of Reynolds to Strouhal number, which is a form of Womersley number, was found to be the most effective non-dimensional parameter to represent energy efficiency of flow in the heart. We believe that this non-dimensional number can be computed for clinical cases via ultrasound and hypothesize that it can serve as a biomarker for clinical evaluations. |
| doi_str_mv | 10.1007/s10237-017-0902-x |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1883176668</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1883176668</sourcerecordid><originalsourceid>FETCH-LOGICAL-c372t-75d5af0a79f1f4e8c4721b7c897e5ba3d00c57b58f3dd531bd79d38bce1718c63</originalsourceid><addsrcrecordid>eNp1kM1q3DAURkVpaP76ANkUQTbZuNG1xpa0LCFpC4Fukm2ELF1NFWx5KtlJ_PbRMMlQCl0ISXC-714OIWfAvgJj4jIDq7moGJSjWF29fCBH0JafUCv2cf9u1CE5zvmRsZpxyT-Rw1rydgVKHZGHm358pm6JZgg2UxMdxYhpvVD0PtiA0S509NRvsRDp9Btpj36iTxinFGyP1M0pxDUdltGa5ILpC-dNslMY4yk58KbP-PntPiH3N9d3Vz-q21_ff159u60sF_VUicY1xjMjlAe_QmlXooZOWKkENp3hjjHbiK6RnjvXcOicUI7LziIIkLblJ-Ri17tJ458Z86SHkC32vYk4zlmDlBxE27ayoOf_oI_jnGLZToPisq0LCIWCHWXTmHNCrzcpDCYtGpjeytc7-brI11v5-qVkvrw1z92Abp94t12AegfkzVYZpr9G_7f1FRF2kE0</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1938623171</pqid></control><display><type>article</type><title>Flow dynamics and energy efficiency of flow in the left ventricle during myocardial infarction</title><source>SpringerLink Journals - AutoHoldings</source><creator>Vasudevan, Vivek ; Low, Adriel Jia Jun ; Annamalai, Sarayu Parimal ; Sampath, Smita ; Poh, Kian Keong ; Totman, Teresa ; Mazlan, Muhammad ; Croft, Grace ; Richards, A. Mark ; de Kleijn, Dominique P. V. ; Chin, Chih-Liang ; Yap, Choon Hwai</creator><creatorcontrib>Vasudevan, Vivek ; Low, Adriel Jia Jun ; Annamalai, Sarayu Parimal ; Sampath, Smita ; Poh, Kian Keong ; Totman, Teresa ; Mazlan, Muhammad ; Croft, Grace ; Richards, A. Mark ; de Kleijn, Dominique P. V. ; Chin, Chih-Liang ; Yap, Choon Hwai</creatorcontrib><description>Cardiovascular disease is a leading cause of death worldwide, where myocardial infarction (MI) is a major category. After infarction, the heart has difficulty providing sufficient energy for circulation, and thus, understanding the heart’s energy efficiency is important. We induced MI in a porcine animal model via circumflex ligation and acquired multiple-slice cine magnetic resonance (MR) images in a longitudinal manner—before infarction, and 1 week (acute) and 4 weeks (chronic) after infarction. Computational fluid dynamic simulations were performed based on MR images to obtain detailed fluid dynamics and energy dynamics of the left ventricles. Results showed that energy efficiency flow through the heart decreased at the acute time point. Since the heart was observed to experience changes in heart rate, stroke volume and chamber size over the two post-infarction time points, simulations were performed to test the effect of each of the three parameters. Increasing heart rate and stroke volume were found to significantly decrease flow energy efficiency, but the effect of chamber size was inconsistent. Strong complex interplay was observed between the three parameters, necessitating the use of non-dimensional parameterization to characterize flow energy efficiency. The ratio of Reynolds to Strouhal number, which is a form of Womersley number, was found to be the most effective non-dimensional parameter to represent energy efficiency of flow in the heart. We believe that this non-dimensional number can be computed for clinical cases via ultrasound and hypothesize that it can serve as a biomarker for clinical evaluations.</description><identifier>ISSN: 1617-7959</identifier><identifier>EISSN: 1617-7940</identifier><identifier>DOI: 10.1007/s10237-017-0902-x</identifier><identifier>PMID: 28364199</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Animal models ; Biological and Medical Physics ; Biomarkers ; Biomedical Engineering and Bioengineering ; Biophysics ; Cardiovascular diseases ; Cerebral infarction ; Circulation ; Computational fluid dynamics ; Computer applications ; Computer simulation ; Electrocardiography ; Energy efficiency ; Engineering ; Fluid dynamics ; Heart attacks ; Heart rate ; Hydrodynamics ; Image acquisition ; Magnetic resonance imaging ; Myocardial infarction ; Original Paper ; Parameterization ; Power efficiency ; Space life sciences ; Stroke ; Stroke volume ; Strouhal number ; Theoretical and Applied Mechanics ; Ultrasound ; Ventricle</subject><ispartof>Biomechanics and modeling in mechanobiology, 2017-10, Vol.16 (5), p.1503-1517</ispartof><rights>Springer-Verlag Berlin Heidelberg 2017</rights><rights>Biomechanics and Modeling in Mechanobiology is a copyright of Springer, 2017.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c372t-75d5af0a79f1f4e8c4721b7c897e5ba3d00c57b58f3dd531bd79d38bce1718c63</citedby><cites>FETCH-LOGICAL-c372t-75d5af0a79f1f4e8c4721b7c897e5ba3d00c57b58f3dd531bd79d38bce1718c63</cites><orcidid>0000-0003-2918-3077</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10237-017-0902-x$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10237-017-0902-x$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,777,781,27906,27907,41470,42539,51301</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28364199$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Vasudevan, Vivek</creatorcontrib><creatorcontrib>Low, Adriel Jia Jun</creatorcontrib><creatorcontrib>Annamalai, Sarayu Parimal</creatorcontrib><creatorcontrib>Sampath, Smita</creatorcontrib><creatorcontrib>Poh, Kian Keong</creatorcontrib><creatorcontrib>Totman, Teresa</creatorcontrib><creatorcontrib>Mazlan, Muhammad</creatorcontrib><creatorcontrib>Croft, Grace</creatorcontrib><creatorcontrib>Richards, A. Mark</creatorcontrib><creatorcontrib>de Kleijn, Dominique P. V.</creatorcontrib><creatorcontrib>Chin, Chih-Liang</creatorcontrib><creatorcontrib>Yap, Choon Hwai</creatorcontrib><title>Flow dynamics and energy efficiency of flow in the left ventricle during myocardial infarction</title><title>Biomechanics and modeling in mechanobiology</title><addtitle>Biomech Model Mechanobiol</addtitle><addtitle>Biomech Model Mechanobiol</addtitle><description>Cardiovascular disease is a leading cause of death worldwide, where myocardial infarction (MI) is a major category. After infarction, the heart has difficulty providing sufficient energy for circulation, and thus, understanding the heart’s energy efficiency is important. We induced MI in a porcine animal model via circumflex ligation and acquired multiple-slice cine magnetic resonance (MR) images in a longitudinal manner—before infarction, and 1 week (acute) and 4 weeks (chronic) after infarction. Computational fluid dynamic simulations were performed based on MR images to obtain detailed fluid dynamics and energy dynamics of the left ventricles. Results showed that energy efficiency flow through the heart decreased at the acute time point. Since the heart was observed to experience changes in heart rate, stroke volume and chamber size over the two post-infarction time points, simulations were performed to test the effect of each of the three parameters. Increasing heart rate and stroke volume were found to significantly decrease flow energy efficiency, but the effect of chamber size was inconsistent. Strong complex interplay was observed between the three parameters, necessitating the use of non-dimensional parameterization to characterize flow energy efficiency. The ratio of Reynolds to Strouhal number, which is a form of Womersley number, was found to be the most effective non-dimensional parameter to represent energy efficiency of flow in the heart. We believe that this non-dimensional number can be computed for clinical cases via ultrasound and hypothesize that it can serve as a biomarker for clinical evaluations.</description><subject>Animal models</subject><subject>Biological and Medical Physics</subject><subject>Biomarkers</subject><subject>Biomedical Engineering and Bioengineering</subject><subject>Biophysics</subject><subject>Cardiovascular diseases</subject><subject>Cerebral infarction</subject><subject>Circulation</subject><subject>Computational fluid dynamics</subject><subject>Computer applications</subject><subject>Computer simulation</subject><subject>Electrocardiography</subject><subject>Energy efficiency</subject><subject>Engineering</subject><subject>Fluid dynamics</subject><subject>Heart attacks</subject><subject>Heart rate</subject><subject>Hydrodynamics</subject><subject>Image acquisition</subject><subject>Magnetic resonance imaging</subject><subject>Myocardial infarction</subject><subject>Original Paper</subject><subject>Parameterization</subject><subject>Power efficiency</subject><subject>Space life sciences</subject><subject>Stroke</subject><subject>Stroke volume</subject><subject>Strouhal number</subject><subject>Theoretical and Applied Mechanics</subject><subject>Ultrasound</subject><subject>Ventricle</subject><issn>1617-7959</issn><issn>1617-7940</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp1kM1q3DAURkVpaP76ANkUQTbZuNG1xpa0LCFpC4Fukm2ELF1NFWx5KtlJ_PbRMMlQCl0ISXC-714OIWfAvgJj4jIDq7moGJSjWF29fCBH0JafUCv2cf9u1CE5zvmRsZpxyT-Rw1rydgVKHZGHm358pm6JZgg2UxMdxYhpvVD0PtiA0S509NRvsRDp9Btpj36iTxinFGyP1M0pxDUdltGa5ILpC-dNslMY4yk58KbP-PntPiH3N9d3Vz-q21_ff159u60sF_VUicY1xjMjlAe_QmlXooZOWKkENp3hjjHbiK6RnjvXcOicUI7LziIIkLblJ-Ri17tJ458Z86SHkC32vYk4zlmDlBxE27ayoOf_oI_jnGLZToPisq0LCIWCHWXTmHNCrzcpDCYtGpjeytc7-brI11v5-qVkvrw1z92Abp94t12AegfkzVYZpr9G_7f1FRF2kE0</recordid><startdate>20171001</startdate><enddate>20171001</enddate><creator>Vasudevan, Vivek</creator><creator>Low, Adriel Jia Jun</creator><creator>Annamalai, Sarayu Parimal</creator><creator>Sampath, Smita</creator><creator>Poh, Kian Keong</creator><creator>Totman, Teresa</creator><creator>Mazlan, Muhammad</creator><creator>Croft, Grace</creator><creator>Richards, A. Mark</creator><creator>de Kleijn, Dominique P. V.</creator><creator>Chin, Chih-Liang</creator><creator>Yap, Choon Hwai</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QO</scope><scope>7QP</scope><scope>7TB</scope><scope>7TK</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88I</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M2P</scope><scope>M7P</scope><scope>M7S</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>Q9U</scope><scope>S0W</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0003-2918-3077</orcidid></search><sort><creationdate>20171001</creationdate><title>Flow dynamics and energy efficiency of flow in the left ventricle during myocardial infarction</title><author>Vasudevan, Vivek ; Low, Adriel Jia Jun ; Annamalai, Sarayu Parimal ; Sampath, Smita ; Poh, Kian Keong ; Totman, Teresa ; Mazlan, Muhammad ; Croft, Grace ; Richards, A. Mark ; de Kleijn, Dominique P. V. ; Chin, Chih-Liang ; Yap, Choon Hwai</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c372t-75d5af0a79f1f4e8c4721b7c897e5ba3d00c57b58f3dd531bd79d38bce1718c63</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Animal models</topic><topic>Biological and Medical Physics</topic><topic>Biomarkers</topic><topic>Biomedical Engineering and Bioengineering</topic><topic>Biophysics</topic><topic>Cardiovascular diseases</topic><topic>Cerebral infarction</topic><topic>Circulation</topic><topic>Computational fluid dynamics</topic><topic>Computer applications</topic><topic>Computer simulation</topic><topic>Electrocardiography</topic><topic>Energy efficiency</topic><topic>Engineering</topic><topic>Fluid dynamics</topic><topic>Heart attacks</topic><topic>Heart rate</topic><topic>Hydrodynamics</topic><topic>Image acquisition</topic><topic>Magnetic resonance imaging</topic><topic>Myocardial infarction</topic><topic>Original Paper</topic><topic>Parameterization</topic><topic>Power efficiency</topic><topic>Space life sciences</topic><topic>Stroke</topic><topic>Stroke volume</topic><topic>Strouhal number</topic><topic>Theoretical and Applied Mechanics</topic><topic>Ultrasound</topic><topic>Ventricle</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Vasudevan, Vivek</creatorcontrib><creatorcontrib>Low, Adriel Jia Jun</creatorcontrib><creatorcontrib>Annamalai, Sarayu Parimal</creatorcontrib><creatorcontrib>Sampath, Smita</creatorcontrib><creatorcontrib>Poh, Kian Keong</creatorcontrib><creatorcontrib>Totman, Teresa</creatorcontrib><creatorcontrib>Mazlan, Muhammad</creatorcontrib><creatorcontrib>Croft, Grace</creatorcontrib><creatorcontrib>Richards, A. Mark</creatorcontrib><creatorcontrib>de Kleijn, Dominique P. V.</creatorcontrib><creatorcontrib>Chin, Chih-Liang</creatorcontrib><creatorcontrib>Yap, Choon Hwai</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Biotechnology Research Abstracts</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Science Database</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering Collection</collection><collection>ProQuest Central Basic</collection><collection>DELNET Engineering & Technology Collection</collection><collection>MEDLINE - Academic</collection><jtitle>Biomechanics and modeling in mechanobiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Vasudevan, Vivek</au><au>Low, Adriel Jia Jun</au><au>Annamalai, Sarayu Parimal</au><au>Sampath, Smita</au><au>Poh, Kian Keong</au><au>Totman, Teresa</au><au>Mazlan, Muhammad</au><au>Croft, Grace</au><au>Richards, A. Mark</au><au>de Kleijn, Dominique P. V.</au><au>Chin, Chih-Liang</au><au>Yap, Choon Hwai</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Flow dynamics and energy efficiency of flow in the left ventricle during myocardial infarction</atitle><jtitle>Biomechanics and modeling in mechanobiology</jtitle><stitle>Biomech Model Mechanobiol</stitle><addtitle>Biomech Model Mechanobiol</addtitle><date>2017-10-01</date><risdate>2017</risdate><volume>16</volume><issue>5</issue><spage>1503</spage><epage>1517</epage><pages>1503-1517</pages><issn>1617-7959</issn><eissn>1617-7940</eissn><abstract>Cardiovascular disease is a leading cause of death worldwide, where myocardial infarction (MI) is a major category. After infarction, the heart has difficulty providing sufficient energy for circulation, and thus, understanding the heart’s energy efficiency is important. We induced MI in a porcine animal model via circumflex ligation and acquired multiple-slice cine magnetic resonance (MR) images in a longitudinal manner—before infarction, and 1 week (acute) and 4 weeks (chronic) after infarction. Computational fluid dynamic simulations were performed based on MR images to obtain detailed fluid dynamics and energy dynamics of the left ventricles. Results showed that energy efficiency flow through the heart decreased at the acute time point. Since the heart was observed to experience changes in heart rate, stroke volume and chamber size over the two post-infarction time points, simulations were performed to test the effect of each of the three parameters. Increasing heart rate and stroke volume were found to significantly decrease flow energy efficiency, but the effect of chamber size was inconsistent. Strong complex interplay was observed between the three parameters, necessitating the use of non-dimensional parameterization to characterize flow energy efficiency. The ratio of Reynolds to Strouhal number, which is a form of Womersley number, was found to be the most effective non-dimensional parameter to represent energy efficiency of flow in the heart. We believe that this non-dimensional number can be computed for clinical cases via ultrasound and hypothesize that it can serve as a biomarker for clinical evaluations.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>28364199</pmid><doi>10.1007/s10237-017-0902-x</doi><tpages>15</tpages><orcidid>https://orcid.org/0000-0003-2918-3077</orcidid></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1617-7959 |
| ispartof | Biomechanics and modeling in mechanobiology, 2017-10, Vol.16 (5), p.1503-1517 |
| issn | 1617-7959 1617-7940 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_1883176668 |
| source | SpringerLink Journals - AutoHoldings |
| subjects | Animal models Biological and Medical Physics Biomarkers Biomedical Engineering and Bioengineering Biophysics Cardiovascular diseases Cerebral infarction Circulation Computational fluid dynamics Computer applications Computer simulation Electrocardiography Energy efficiency Engineering Fluid dynamics Heart attacks Heart rate Hydrodynamics Image acquisition Magnetic resonance imaging Myocardial infarction Original Paper Parameterization Power efficiency Space life sciences Stroke Stroke volume Strouhal number Theoretical and Applied Mechanics Ultrasound Ventricle |
| title | Flow dynamics and energy efficiency of flow in the left ventricle during myocardial infarction |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-17T10%3A10%3A05IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Flow%20dynamics%20and%20energy%20efficiency%20of%20flow%20in%20the%20left%20ventricle%20during%20myocardial%20infarction&rft.jtitle=Biomechanics%20and%20modeling%20in%20mechanobiology&rft.au=Vasudevan,%20Vivek&rft.date=2017-10-01&rft.volume=16&rft.issue=5&rft.spage=1503&rft.epage=1517&rft.pages=1503-1517&rft.issn=1617-7959&rft.eissn=1617-7940&rft_id=info:doi/10.1007/s10237-017-0902-x&rft_dat=%3Cproquest_cross%3E1883176668%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1938623171&rft_id=info:pmid/28364199&rfr_iscdi=true |