Multimodality Imaging-Based Characterization of Regional Material Properties in a Murine Model of Aortic Dissection
Chronic infusion of angiotensin-II in atheroprone ( ApoE −/− ) mice provides a reproducible model of dissection in the suprarenal abdominal aorta, often with a false lumen and intramural thrombus that thickens the wall. Such lesions exhibit complex morphologies, with different regions characterized...
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description | Chronic infusion of angiotensin-II in atheroprone (
ApoE
−/−
) mice provides a reproducible model of dissection in the suprarenal abdominal aorta, often with a false lumen and intramural thrombus that thickens the wall. Such lesions exhibit complex morphologies, with different regions characterized by localized changes in wall composition, microstructure, and properties. We sought to quantify the multiaxial mechanical properties of murine dissecting aneurysm samples by combining
in vitro
extension-distension data with full-field multimodality measurements of wall strain and thickness to inform an inverse material characterization using the virtual fields method. A key advance is the use of a digital volume correlation approach that allows for characterization of properties not only along and around the lesion, but also across its wall. Specifically, deformations are measured at the adventitial surface by tracking motions of a speckle pattern using a custom panoramic digital image correlation technique while deformations throughout the wall and thrombus are inferred from optical coherence tomography. These measurements are registered and combined in 3D to reconstruct the reference geometry and compute the 3D finite strain fields in response to pressurization. Results reveal dramatic regional variations in material stiffness and strain energy, which reflect local changes in constituent area fractions obtained from histology but emphasize the complexity of lesion morphology and damage within the dissected wall. This is the first point-wise biomechanical characterization of such complex, heterogeneous arterial segments. Because matrix remodeling is critical to the formation and growth of these lesions, we submit that quantification of regional material properties will increase the understanding of pathological mechanical mechanisms underlying aortic dissection. |
doi_str_mv | 10.1038/s41598-020-65624-7 |
format | Article |
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ApoE
−/−
) mice provides a reproducible model of dissection in the suprarenal abdominal aorta, often with a false lumen and intramural thrombus that thickens the wall. Such lesions exhibit complex morphologies, with different regions characterized by localized changes in wall composition, microstructure, and properties. We sought to quantify the multiaxial mechanical properties of murine dissecting aneurysm samples by combining
in vitro
extension-distension data with full-field multimodality measurements of wall strain and thickness to inform an inverse material characterization using the virtual fields method. A key advance is the use of a digital volume correlation approach that allows for characterization of properties not only along and around the lesion, but also across its wall. Specifically, deformations are measured at the adventitial surface by tracking motions of a speckle pattern using a custom panoramic digital image correlation technique while deformations throughout the wall and thrombus are inferred from optical coherence tomography. These measurements are registered and combined in 3D to reconstruct the reference geometry and compute the 3D finite strain fields in response to pressurization. Results reveal dramatic regional variations in material stiffness and strain energy, which reflect local changes in constituent area fractions obtained from histology but emphasize the complexity of lesion morphology and damage within the dissected wall. This is the first point-wise biomechanical characterization of such complex, heterogeneous arterial segments. Because matrix remodeling is critical to the formation and growth of these lesions, we submit that quantification of regional material properties will increase the understanding of pathological mechanical mechanisms underlying aortic dissection.</description><identifier>ISSN: 2045-2322</identifier><identifier>EISSN: 2045-2322</identifier><identifier>DOI: 10.1038/s41598-020-65624-7</identifier><identifier>PMID: 32514185</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>631/57 ; 639/166 ; Angiotensin ; Angiotensin II ; Animal models ; Animals ; Aorta ; Aortic dissection ; Aortic Dissection - diagnostic imaging ; Aortic Dissection - pathology ; Aortic Dissection - physiopathology ; Apolipoprotein E ; Biomechanical Phenomena ; Biomechanics ; Blood clots ; Disease Models, Animal ; Distension ; Histology ; Humanities and Social Sciences ; Lesions ; Male ; Mechanical properties ; Mechanics ; Mice ; multidisciplinary ; Multimodal Imaging ; Physics ; Science ; Science (multidisciplinary) ; Thrombosis ; Tomography, Optical Coherence ; Vascular Stiffness</subject><ispartof>Scientific reports, 2020-06, Vol.10 (1), p.9244-9244, Article 9244</ispartof><rights>The Author(s) 2020</rights><rights>The Author(s) 2020. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</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-c508t-4ab78836168b48d1639f3f512a9aca1dbf48f5d7167eb8b2b35779f7d1653f983</citedby><cites>FETCH-LOGICAL-c508t-4ab78836168b48d1639f3f512a9aca1dbf48f5d7167eb8b2b35779f7d1653f983</cites><orcidid>0000-0002-8604-7736</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7280301/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7280301/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,27901,27902,41096,42165,51551,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32514185$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://hal.science/hal-04826074$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Bersi, Matthew R.</creatorcontrib><creatorcontrib>Acosta Santamaría, Víctor A.</creatorcontrib><creatorcontrib>Marback, Karl</creatorcontrib><creatorcontrib>Di Achille, Paolo</creatorcontrib><creatorcontrib>Phillips, Evan H.</creatorcontrib><creatorcontrib>Goergen, Craig J.</creatorcontrib><creatorcontrib>Humphrey, Jay D.</creatorcontrib><creatorcontrib>Avril, Stéphane</creatorcontrib><title>Multimodality Imaging-Based Characterization of Regional Material Properties in a Murine Model of Aortic Dissection</title><title>Scientific reports</title><addtitle>Sci Rep</addtitle><addtitle>Sci Rep</addtitle><description>Chronic infusion of angiotensin-II in atheroprone (
ApoE
−/−
) mice provides a reproducible model of dissection in the suprarenal abdominal aorta, often with a false lumen and intramural thrombus that thickens the wall. Such lesions exhibit complex morphologies, with different regions characterized by localized changes in wall composition, microstructure, and properties. We sought to quantify the multiaxial mechanical properties of murine dissecting aneurysm samples by combining
in vitro
extension-distension data with full-field multimodality measurements of wall strain and thickness to inform an inverse material characterization using the virtual fields method. A key advance is the use of a digital volume correlation approach that allows for characterization of properties not only along and around the lesion, but also across its wall. Specifically, deformations are measured at the adventitial surface by tracking motions of a speckle pattern using a custom panoramic digital image correlation technique while deformations throughout the wall and thrombus are inferred from optical coherence tomography. These measurements are registered and combined in 3D to reconstruct the reference geometry and compute the 3D finite strain fields in response to pressurization. Results reveal dramatic regional variations in material stiffness and strain energy, which reflect local changes in constituent area fractions obtained from histology but emphasize the complexity of lesion morphology and damage within the dissected wall. This is the first point-wise biomechanical characterization of such complex, heterogeneous arterial segments. Because matrix remodeling is critical to the formation and growth of these lesions, we submit that quantification of regional material properties will increase the understanding of pathological mechanical mechanisms underlying aortic dissection.</description><subject>631/57</subject><subject>639/166</subject><subject>Angiotensin</subject><subject>Angiotensin II</subject><subject>Animal models</subject><subject>Animals</subject><subject>Aorta</subject><subject>Aortic dissection</subject><subject>Aortic Dissection - diagnostic imaging</subject><subject>Aortic Dissection - pathology</subject><subject>Aortic Dissection - physiopathology</subject><subject>Apolipoprotein E</subject><subject>Biomechanical Phenomena</subject><subject>Biomechanics</subject><subject>Blood clots</subject><subject>Disease Models, Animal</subject><subject>Distension</subject><subject>Histology</subject><subject>Humanities and Social Sciences</subject><subject>Lesions</subject><subject>Male</subject><subject>Mechanical properties</subject><subject>Mechanics</subject><subject>Mice</subject><subject>multidisciplinary</subject><subject>Multimodal Imaging</subject><subject>Physics</subject><subject>Science</subject><subject>Science (multidisciplinary)</subject><subject>Thrombosis</subject><subject>Tomography, Optical Coherence</subject><subject>Vascular Stiffness</subject><issn>2045-2322</issn><issn>2045-2322</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNp9kk1v1DAQhiMEolXpH-CALHGBQ6g_Y-eCtGwLrbQrEIKzNUnsrKskXuykUvvr6zSlLT0wF488z7zjjzfL3hL8iWCmTiInolQ5pjgvREF5Ll9khxRzkVNG6csn-UF2HOMlTiFoyUn5OjtgVBBOlDjM4nbqRtf7Bjo3XqOLHlo3tPkXiKZB6x0EqEcT3A2Mzg_IW_TTtCmDDm1hLqTkR_B7E0ZnInIDArSdghsM2vrGdHPHyqdijU5djKaeZd5kryx00Rzfr0fZ769nv9bn-eb7t4v1apPXAqsx51BJpVhBClVx1ZCClZZZQSiUUANpKsuVFY0khTSVqmjFhJSllYkUzJaKHWWfF939VPWmqc0wBuj0PrgewrX24PS_lcHtdOuvtKQKM0ySwMdFYPes7Xy10fMe5ooWWPKrmf1wPyz4P5OJo-5drE3XwWD8FDXlJAUWmCb0_TP00k8hvekdhQtRMiUSRReqDj7GYOzDCQjWswX0YgGdLKDvLKBlanr39MoPLX8_PAFsAWIqDa0Jj7P_I3sLRjS8Ow</recordid><startdate>20200608</startdate><enddate>20200608</enddate><creator>Bersi, Matthew R.</creator><creator>Acosta Santamaría, Víctor A.</creator><creator>Marback, Karl</creator><creator>Di Achille, Paolo</creator><creator>Phillips, Evan H.</creator><creator>Goergen, Craig J.</creator><creator>Humphrey, Jay D.</creator><creator>Avril, Stéphane</creator><general>Nature Publishing Group UK</general><general>Nature Publishing Group</general><scope>C6C</scope><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>7X7</scope><scope>7XB</scope><scope>88A</scope><scope>88E</scope><scope>88I</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M2P</scope><scope>M7P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>7X8</scope><scope>1XC</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-8604-7736</orcidid></search><sort><creationdate>20200608</creationdate><title>Multimodality Imaging-Based Characterization of Regional Material Properties in a Murine Model of Aortic Dissection</title><author>Bersi, Matthew R. ; Acosta Santamaría, Víctor A. ; Marback, Karl ; Di Achille, Paolo ; Phillips, Evan H. ; Goergen, Craig J. ; Humphrey, Jay D. ; Avril, Stéphane</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c508t-4ab78836168b48d1639f3f512a9aca1dbf48f5d7167eb8b2b35779f7d1653f983</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>631/57</topic><topic>639/166</topic><topic>Angiotensin</topic><topic>Angiotensin II</topic><topic>Animal models</topic><topic>Animals</topic><topic>Aorta</topic><topic>Aortic dissection</topic><topic>Aortic Dissection - diagnostic imaging</topic><topic>Aortic Dissection - pathology</topic><topic>Aortic Dissection - physiopathology</topic><topic>Apolipoprotein E</topic><topic>Biomechanical Phenomena</topic><topic>Biomechanics</topic><topic>Blood clots</topic><topic>Disease Models, Animal</topic><topic>Distension</topic><topic>Histology</topic><topic>Humanities and Social Sciences</topic><topic>Lesions</topic><topic>Male</topic><topic>Mechanical properties</topic><topic>Mechanics</topic><topic>Mice</topic><topic>multidisciplinary</topic><topic>Multimodal Imaging</topic><topic>Physics</topic><topic>Science</topic><topic>Science (multidisciplinary)</topic><topic>Thrombosis</topic><topic>Tomography, Optical Coherence</topic><topic>Vascular Stiffness</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bersi, Matthew R.</creatorcontrib><creatorcontrib>Acosta Santamaría, Víctor A.</creatorcontrib><creatorcontrib>Marback, Karl</creatorcontrib><creatorcontrib>Di Achille, Paolo</creatorcontrib><creatorcontrib>Phillips, Evan H.</creatorcontrib><creatorcontrib>Goergen, Craig J.</creatorcontrib><creatorcontrib>Humphrey, Jay D.</creatorcontrib><creatorcontrib>Avril, Stéphane</creatorcontrib><collection>Springer Nature OA Free Journals</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Biology Database (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest SciTech 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>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>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</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 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>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>Hyper Article en Ligne (HAL)</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Scientific reports</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bersi, Matthew R.</au><au>Acosta Santamaría, Víctor A.</au><au>Marback, Karl</au><au>Di Achille, Paolo</au><au>Phillips, Evan H.</au><au>Goergen, Craig J.</au><au>Humphrey, Jay D.</au><au>Avril, Stéphane</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Multimodality Imaging-Based Characterization of Regional Material Properties in a Murine Model of Aortic Dissection</atitle><jtitle>Scientific reports</jtitle><stitle>Sci Rep</stitle><addtitle>Sci Rep</addtitle><date>2020-06-08</date><risdate>2020</risdate><volume>10</volume><issue>1</issue><spage>9244</spage><epage>9244</epage><pages>9244-9244</pages><artnum>9244</artnum><issn>2045-2322</issn><eissn>2045-2322</eissn><abstract>Chronic infusion of angiotensin-II in atheroprone (
ApoE
−/−
) mice provides a reproducible model of dissection in the suprarenal abdominal aorta, often with a false lumen and intramural thrombus that thickens the wall. Such lesions exhibit complex morphologies, with different regions characterized by localized changes in wall composition, microstructure, and properties. We sought to quantify the multiaxial mechanical properties of murine dissecting aneurysm samples by combining
in vitro
extension-distension data with full-field multimodality measurements of wall strain and thickness to inform an inverse material characterization using the virtual fields method. A key advance is the use of a digital volume correlation approach that allows for characterization of properties not only along and around the lesion, but also across its wall. Specifically, deformations are measured at the adventitial surface by tracking motions of a speckle pattern using a custom panoramic digital image correlation technique while deformations throughout the wall and thrombus are inferred from optical coherence tomography. These measurements are registered and combined in 3D to reconstruct the reference geometry and compute the 3D finite strain fields in response to pressurization. Results reveal dramatic regional variations in material stiffness and strain energy, which reflect local changes in constituent area fractions obtained from histology but emphasize the complexity of lesion morphology and damage within the dissected wall. This is the first point-wise biomechanical characterization of such complex, heterogeneous arterial segments. Because matrix remodeling is critical to the formation and growth of these lesions, we submit that quantification of regional material properties will increase the understanding of pathological mechanical mechanisms underlying aortic dissection.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>32514185</pmid><doi>10.1038/s41598-020-65624-7</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0002-8604-7736</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | 631/57 639/166 Angiotensin Angiotensin II Animal models Animals Aorta Aortic dissection Aortic Dissection - diagnostic imaging Aortic Dissection - pathology Aortic Dissection - physiopathology Apolipoprotein E Biomechanical Phenomena Biomechanics Blood clots Disease Models, Animal Distension Histology Humanities and Social Sciences Lesions Male Mechanical properties Mechanics Mice multidisciplinary Multimodal Imaging Physics Science Science (multidisciplinary) Thrombosis Tomography, Optical Coherence Vascular Stiffness |
title | Multimodality Imaging-Based Characterization of Regional Material Properties in a Murine Model of Aortic Dissection |
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