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Image-Based Simulations Show Important Flow Fluctuations in a Normal Left Ventricle: What Could be the Implications?
Intra-cardiac flow has been explored for decades but there is still no consensus on whether or not healthy left ventricles (LV) may harbour turbulent-like flow despite its potential physiological and clinical relevance. The purpose of this study is to elucidate if a healthy LV could harbour flow ins...
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Published in: | Annals of biomedical engineering 2016-11, Vol.44 (11), p.3346-3358 |
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description | Intra-cardiac flow has been explored for decades but there is still no consensus on whether or not healthy left ventricles (LV) may harbour turbulent-like flow despite its potential physiological and clinical relevance. The purpose of this study is to elucidate if a healthy LV could harbour flow instabilities, using image-based computational fluid dynamics (CFD). 35 cardiac cycles were simulated in a patient-specific left heart model obtained from cardiovascular magnetic resonance (CMR). The model includes the valves, atrium, ventricle, papillary muscles and ascending aorta. We computed phase-averaged flow patterns, fluctuating kinetic energy (FKE) and associated frequency components. The LV harbours disturbed flow during diastole with cycle-to-cycle variations. However, phase-averaged velocity fields much resemble those of CMR measurements and usually reported CFD results. The peak FKE value occurs during the E wave deceleration and reaches 25% of the maximum phase-averaged flow kinetic energy. Highest FKE values are predominantly located in the basal region and their frequency content reach more than 200 Hz. This study suggests that high-frequency flow fluctuations in normal LV may be common, implying deficiencies in the hypothesis usually made when computing cardiac flows and highlighting biases when deriving quantities from velocity fields measured with CMR. |
doi_str_mv | 10.1007/s10439-016-1614-6 |
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The purpose of this study is to elucidate if a healthy LV could harbour flow instabilities, using image-based computational fluid dynamics (CFD). 35 cardiac cycles were simulated in a patient-specific left heart model obtained from cardiovascular magnetic resonance (CMR). The model includes the valves, atrium, ventricle, papillary muscles and ascending aorta. We computed phase-averaged flow patterns, fluctuating kinetic energy (FKE) and associated frequency components. The LV harbours disturbed flow during diastole with cycle-to-cycle variations. However, phase-averaged velocity fields much resemble those of CMR measurements and usually reported CFD results. The peak FKE value occurs during the E wave deceleration and reaches 25% of the maximum phase-averaged flow kinetic energy. Highest FKE values are predominantly located in the basal region and their frequency content reach more than 200 Hz. This study suggests that high-frequency flow fluctuations in normal LV may be common, implying deficiencies in the hypothesis usually made when computing cardiac flows and highlighting biases when deriving quantities from velocity fields measured with CMR.</description><identifier>ISSN: 0090-6964</identifier><identifier>EISSN: 1573-9686</identifier><identifier>DOI: 10.1007/s10439-016-1614-6</identifier><identifier>PMID: 27073110</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Adult ; Biochemistry ; Biological and Medical Physics ; Biomechanics ; Biomedical and Life Sciences ; Biomedical Engineering and Bioengineering ; Biomedicine ; Biophysics ; Blood Flow Velocity ; Classical Mechanics ; Computation ; Computational fluid dynamics ; Computer Science ; Computer Simulation ; Deceleration ; Fluctuation ; Fluctuations ; Fluid Dynamics ; Heart Ventricles - diagnostic imaging ; Humans ; Hydrodynamics ; Kinetic energy ; Magnetic Resonance Imaging ; Male ; Mathematical models ; Mechanics ; Medical Imaging ; Models, Cardiovascular ; Muscles ; Physics ; Ventricular Function, Left</subject><ispartof>Annals of biomedical engineering, 2016-11, Vol.44 (11), p.3346-3358</ispartof><rights>Biomedical Engineering Society 2016</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c515t-2c17f4b37b28de04ed562d8a383cd7f6dcb12c8676ce66e41dfbd067117365dd3</citedby><cites>FETCH-LOGICAL-c515t-2c17f4b37b28de04ed562d8a383cd7f6dcb12c8676ce66e41dfbd067117365dd3</cites><orcidid>0000-0002-0006-8422 ; 0000-0002-0863-2024</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,780,784,885,27922,27923</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27073110$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://hal.science/hal-01303067$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Chnafa, C.</creatorcontrib><creatorcontrib>Mendez, S.</creatorcontrib><creatorcontrib>Nicoud, F.</creatorcontrib><title>Image-Based Simulations Show Important Flow Fluctuations in a Normal Left Ventricle: What Could be the Implications?</title><title>Annals of biomedical engineering</title><addtitle>Ann Biomed Eng</addtitle><addtitle>Ann Biomed Eng</addtitle><description>Intra-cardiac flow has been explored for decades but there is still no consensus on whether or not healthy left ventricles (LV) may harbour turbulent-like flow despite its potential physiological and clinical relevance. The purpose of this study is to elucidate if a healthy LV could harbour flow instabilities, using image-based computational fluid dynamics (CFD). 35 cardiac cycles were simulated in a patient-specific left heart model obtained from cardiovascular magnetic resonance (CMR). The model includes the valves, atrium, ventricle, papillary muscles and ascending aorta. We computed phase-averaged flow patterns, fluctuating kinetic energy (FKE) and associated frequency components. The LV harbours disturbed flow during diastole with cycle-to-cycle variations. However, phase-averaged velocity fields much resemble those of CMR measurements and usually reported CFD results. The peak FKE value occurs during the E wave deceleration and reaches 25% of the maximum phase-averaged flow kinetic energy. Highest FKE values are predominantly located in the basal region and their frequency content reach more than 200 Hz. This study suggests that high-frequency flow fluctuations in normal LV may be common, implying deficiencies in the hypothesis usually made when computing cardiac flows and highlighting biases when deriving quantities from velocity fields measured with CMR.</description><subject>Adult</subject><subject>Biochemistry</subject><subject>Biological and Medical Physics</subject><subject>Biomechanics</subject><subject>Biomedical and Life Sciences</subject><subject>Biomedical Engineering and Bioengineering</subject><subject>Biomedicine</subject><subject>Biophysics</subject><subject>Blood Flow Velocity</subject><subject>Classical Mechanics</subject><subject>Computation</subject><subject>Computational fluid dynamics</subject><subject>Computer Science</subject><subject>Computer Simulation</subject><subject>Deceleration</subject><subject>Fluctuation</subject><subject>Fluctuations</subject><subject>Fluid Dynamics</subject><subject>Heart Ventricles - diagnostic imaging</subject><subject>Humans</subject><subject>Hydrodynamics</subject><subject>Kinetic energy</subject><subject>Magnetic Resonance Imaging</subject><subject>Male</subject><subject>Mathematical models</subject><subject>Mechanics</subject><subject>Medical Imaging</subject><subject>Models, Cardiovascular</subject><subject>Muscles</subject><subject>Physics</subject><subject>Ventricular Function, Left</subject><issn>0090-6964</issn><issn>1573-9686</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><recordid>eNqNkk-P1CAYxonRuLOjH8CLIfHiHqq8pby0Xsw6cdxJJnpY_xwJBbrTDW3HQjV-e2k6boyJ0RMBfs8DDzyEPAH2AhiTLwOwglcZA8wAocjwHlmBkDyrsMT7ZMVYxTKssDgj5yHcMgZQcvGQnOWSSQ7AViTuOn3jsjc6OEuv227yOrZDH-j1YfhOd91xGKPuI936NN36ycTpBLQ91fT9MHba071rIv3s-ji2xrtX9MtBR7oZJm9p7Wg8uNnJt2aRvn5EHjTaB_f4NK7Jp-3bj5urbP_h3W5zuc-MABGz3IBsiprLOi-tY4WzAnNbal5yY2WD1tSQmxIlGofoCrBNbRlKAMlRWMvX5GLxPWivjmPb6fGHGnSrri73al5jwBlPim-Q2OcLexyHr5MLUXVtMM573bthCgpKLIQUglf_gRZYgMB0z3-jOSJyXoqEPvsDvR2msU_vo-ZfKySIlGtNYKHMOIQwuuYuFzA1l0ItpUjRUM2lUJg0T0_OU905e6f41YIE5AsQ0lZ_48bfjv6r60_bFb9d</recordid><startdate>20161101</startdate><enddate>20161101</enddate><creator>Chnafa, C.</creator><creator>Mendez, S.</creator><creator>Nicoud, F.</creator><general>Springer US</general><general>Springer Nature B.V</general><general>Springer Verlag</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QF</scope><scope>7QO</scope><scope>7QQ</scope><scope>7SC</scope><scope>7SE</scope><scope>7SP</scope><scope>7SR</scope><scope>7TA</scope><scope>7TB</scope><scope>7U5</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8BQ</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>ARAPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F28</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H8D</scope><scope>H8G</scope><scope>HCIFZ</scope><scope>JG9</scope><scope>JQ2</scope><scope>K9.</scope><scope>KR7</scope><scope>L6V</scope><scope>L7M</scope><scope>LK8</scope><scope>L~C</scope><scope>L~D</scope><scope>M0S</scope><scope>M1P</scope><scope>M7P</scope><scope>M7S</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>7X8</scope><scope>1XC</scope><scope>VOOES</scope><orcidid>https://orcid.org/0000-0002-0006-8422</orcidid><orcidid>https://orcid.org/0000-0002-0863-2024</orcidid></search><sort><creationdate>20161101</creationdate><title>Image-Based Simulations Show Important Flow Fluctuations in a Normal Left Ventricle: What Could be the Implications?</title><author>Chnafa, C. ; Mendez, S. ; Nicoud, F.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c515t-2c17f4b37b28de04ed562d8a383cd7f6dcb12c8676ce66e41dfbd067117365dd3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Adult</topic><topic>Biochemistry</topic><topic>Biological and Medical Physics</topic><topic>Biomechanics</topic><topic>Biomedical and Life Sciences</topic><topic>Biomedical Engineering and Bioengineering</topic><topic>Biomedicine</topic><topic>Biophysics</topic><topic>Blood Flow Velocity</topic><topic>Classical Mechanics</topic><topic>Computation</topic><topic>Computational fluid dynamics</topic><topic>Computer Science</topic><topic>Computer Simulation</topic><topic>Deceleration</topic><topic>Fluctuation</topic><topic>Fluctuations</topic><topic>Fluid Dynamics</topic><topic>Heart Ventricles - 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Academic</collection><collection>Hyper Article en Ligne (HAL)</collection><collection>Hyper Article en Ligne (HAL) (Open Access)</collection><jtitle>Annals of biomedical engineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Chnafa, C.</au><au>Mendez, S.</au><au>Nicoud, F.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Image-Based Simulations Show Important Flow Fluctuations in a Normal Left Ventricle: What Could be the Implications?</atitle><jtitle>Annals of biomedical engineering</jtitle><stitle>Ann Biomed Eng</stitle><addtitle>Ann Biomed Eng</addtitle><date>2016-11-01</date><risdate>2016</risdate><volume>44</volume><issue>11</issue><spage>3346</spage><epage>3358</epage><pages>3346-3358</pages><issn>0090-6964</issn><eissn>1573-9686</eissn><abstract>Intra-cardiac flow has been explored for decades but there is still no consensus on whether or not healthy left ventricles (LV) may harbour turbulent-like flow despite its potential physiological and clinical relevance. The purpose of this study is to elucidate if a healthy LV could harbour flow instabilities, using image-based computational fluid dynamics (CFD). 35 cardiac cycles were simulated in a patient-specific left heart model obtained from cardiovascular magnetic resonance (CMR). The model includes the valves, atrium, ventricle, papillary muscles and ascending aorta. We computed phase-averaged flow patterns, fluctuating kinetic energy (FKE) and associated frequency components. The LV harbours disturbed flow during diastole with cycle-to-cycle variations. However, phase-averaged velocity fields much resemble those of CMR measurements and usually reported CFD results. The peak FKE value occurs during the E wave deceleration and reaches 25% of the maximum phase-averaged flow kinetic energy. Highest FKE values are predominantly located in the basal region and their frequency content reach more than 200 Hz. 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subjects | Adult Biochemistry Biological and Medical Physics Biomechanics Biomedical and Life Sciences Biomedical Engineering and Bioengineering Biomedicine Biophysics Blood Flow Velocity Classical Mechanics Computation Computational fluid dynamics Computer Science Computer Simulation Deceleration Fluctuation Fluctuations Fluid Dynamics Heart Ventricles - diagnostic imaging Humans Hydrodynamics Kinetic energy Magnetic Resonance Imaging Male Mathematical models Mechanics Medical Imaging Models, Cardiovascular Muscles Physics Ventricular Function, Left |
title | Image-Based Simulations Show Important Flow Fluctuations in a Normal Left Ventricle: What Could be the Implications? |
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