Estimation of in vivo human myocardial fibre strain by integrating diffusion tensor and tagged MRI using FE modelling
In this study, we propose a methodology to estimate 3D+time maps of left ventricular fibre strain from human structural and dynamic MRI data. A finite element model integrates fibre principal direction throughout the left ventricle from an ex vivo human diffusion tensor MRI acquisition and motion fr...
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creator | Wang, V. Y. Casta, C. Croisille, P. Clarysse, P. Zhu, Y.-M Cowan, B. R. Young, A. A. Nash, M. P. |
description | In this study, we propose a methodology to estimate 3D+time maps of left ventricular fibre strain from human structural and dynamic MRI data. A finite element model integrates fibre principal direction throughout the left ventricle from an ex vivo human diffusion tensor MRI acquisition and motion from tagged MRI. This combination enables the estimation of fibre strain and its variation throughout the cardiac cycle. The long-term goal of this study is to apply this technique to an atlas of human fibre orientations and to investigate the importance of having subject-specific fibre orientation for fibre strain analysis. |
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Y. ; Casta, C. ; Croisille, P. ; Clarysse, P. ; Zhu, Y.-M ; Cowan, B. R. ; Young, A. A. ; Nash, M. P.</creator><creatorcontrib>Wang, V. Y. ; Casta, C. ; Croisille, P. ; Clarysse, P. ; Zhu, Y.-M ; Cowan, B. R. ; Young, A. A. ; Nash, M. P.</creatorcontrib><description>In this study, we propose a methodology to estimate 3D+time maps of left ventricular fibre strain from human structural and dynamic MRI data. A finite element model integrates fibre principal direction throughout the left ventricle from an ex vivo human diffusion tensor MRI acquisition and motion from tagged MRI. This combination enables the estimation of fibre strain and its variation throughout the cardiac cycle. The long-term goal of this study is to apply this technique to an atlas of human fibre orientations and to investigate the importance of having subject-specific fibre orientation for fibre strain analysis.</description><identifier>ISSN: 1945-7928</identifier><identifier>ISBN: 145771857X</identifier><identifier>ISBN: 9781457718571</identifier><identifier>EISSN: 1945-8452</identifier><identifier>EISBN: 9781457718588</identifier><identifier>EISBN: 9781457718564</identifier><identifier>EISBN: 1457718588</identifier><identifier>EISBN: 1457718561</identifier><identifier>DOI: 10.1109/ISBI.2012.6235480</identifier><language>eng</language><publisher>IEEE</publisher><subject>Data models ; Diffusion Tensor MRI ; Engineering Sciences ; FE modelling ; Human cardiac fibre strain ; Humans ; In vivo ; Iron ; Magnetic resonance imaging ; Myocardium ; Signal and Image processing ; Strain ; tagged MRI</subject><ispartof>2012 9th IEEE International Symposium on Biomedical Imaging (ISBI), 2012, p.46-49</ispartof><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><woscitedreferencessubscribed>false</woscitedreferencessubscribed><orcidid>0000-0002-5495-7655 ; 0000-0002-5217-493X ; 0000-0001-6814-1449</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/6235480$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,776,780,785,786,881,2052,4036,27902,54895</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/6235480$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc><backlink>$$Uhttps://hal.science/hal-00830230$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Wang, V. Y.</creatorcontrib><creatorcontrib>Casta, C.</creatorcontrib><creatorcontrib>Croisille, P.</creatorcontrib><creatorcontrib>Clarysse, P.</creatorcontrib><creatorcontrib>Zhu, Y.-M</creatorcontrib><creatorcontrib>Cowan, B. R.</creatorcontrib><creatorcontrib>Young, A. A.</creatorcontrib><creatorcontrib>Nash, M. P.</creatorcontrib><title>Estimation of in vivo human myocardial fibre strain by integrating diffusion tensor and tagged MRI using FE modelling</title><title>2012 9th IEEE International Symposium on Biomedical Imaging (ISBI)</title><addtitle>ISBI</addtitle><description>In this study, we propose a methodology to estimate 3D+time maps of left ventricular fibre strain from human structural and dynamic MRI data. A finite element model integrates fibre principal direction throughout the left ventricle from an ex vivo human diffusion tensor MRI acquisition and motion from tagged MRI. This combination enables the estimation of fibre strain and its variation throughout the cardiac cycle. 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Y.</creator><creator>Casta, C.</creator><creator>Croisille, P.</creator><creator>Clarysse, P.</creator><creator>Zhu, Y.-M</creator><creator>Cowan, B. R.</creator><creator>Young, A. A.</creator><creator>Nash, M. P.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope><scope>1XC</scope><orcidid>https://orcid.org/0000-0002-5495-7655</orcidid><orcidid>https://orcid.org/0000-0002-5217-493X</orcidid><orcidid>https://orcid.org/0000-0001-6814-1449</orcidid></search><sort><creationdate>201205</creationdate><title>Estimation of in vivo human myocardial fibre strain by integrating diffusion tensor and tagged MRI using FE modelling</title><author>Wang, V. Y. ; Casta, C. ; Croisille, P. ; Clarysse, P. ; Zhu, Y.-M ; Cowan, B. R. ; Young, A. A. ; Nash, M. 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R.</creatorcontrib><creatorcontrib>Young, A. A.</creatorcontrib><creatorcontrib>Nash, M. P.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection><collection>Hyper Article en Ligne (HAL)</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Wang, V. Y.</au><au>Casta, C.</au><au>Croisille, P.</au><au>Clarysse, P.</au><au>Zhu, Y.-M</au><au>Cowan, B. R.</au><au>Young, A. A.</au><au>Nash, M. P.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Estimation of in vivo human myocardial fibre strain by integrating diffusion tensor and tagged MRI using FE modelling</atitle><btitle>2012 9th IEEE International Symposium on Biomedical Imaging (ISBI)</btitle><stitle>ISBI</stitle><date>2012-05</date><risdate>2012</risdate><spage>46</spage><epage>49</epage><pages>46-49</pages><issn>1945-7928</issn><eissn>1945-8452</eissn><isbn>145771857X</isbn><isbn>9781457718571</isbn><eisbn>9781457718588</eisbn><eisbn>9781457718564</eisbn><eisbn>1457718588</eisbn><eisbn>1457718561</eisbn><abstract>In this study, we propose a methodology to estimate 3D+time maps of left ventricular fibre strain from human structural and dynamic MRI data. A finite element model integrates fibre principal direction throughout the left ventricle from an ex vivo human diffusion tensor MRI acquisition and motion from tagged MRI. This combination enables the estimation of fibre strain and its variation throughout the cardiac cycle. The long-term goal of this study is to apply this technique to an atlas of human fibre orientations and to investigate the importance of having subject-specific fibre orientation for fibre strain analysis.</abstract><pub>IEEE</pub><doi>10.1109/ISBI.2012.6235480</doi><tpages>4</tpages><orcidid>https://orcid.org/0000-0002-5495-7655</orcidid><orcidid>https://orcid.org/0000-0002-5217-493X</orcidid><orcidid>https://orcid.org/0000-0001-6814-1449</orcidid></addata></record> |
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identifier | ISSN: 1945-7928 |
ispartof | 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI), 2012, p.46-49 |
issn | 1945-7928 1945-8452 |
language | eng |
recordid | cdi_ieee_primary_6235480 |
source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Data models Diffusion Tensor MRI Engineering Sciences FE modelling Human cardiac fibre strain Humans In vivo Iron Magnetic resonance imaging Myocardium Signal and Image processing Strain tagged MRI |
title | Estimation of in vivo human myocardial fibre strain by integrating diffusion tensor and tagged MRI using FE modelling |
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