A Shell-Based Inverse Approach of Stress Analysis in Intracranial Aneurysms
Predicting pressure induced wall stress in intracranial aneurysms continues to be of interest for aneurysm safety assessment. In quasi-static analysis, there are two distinct approaches that one may take, the forward approach and the inverse approach. The inverse approach starts from a deformed conf...
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Veröffentlicht in: | Annals of biomedical engineering 2013-07, Vol.41 (7), p.1505-1515 |
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description | Predicting pressure induced wall stress in intracranial aneurysms continues to be of interest for aneurysm safety assessment. In quasi-static analysis, there are two distinct approaches that one may take, the forward approach and the inverse approach. The inverse approach starts from a deformed configuration and thus is naturally suited to image-based, patient-specific analysis. Early studies by the authors’ team suggested that the inverse approach, in the context of estimating the wall stress in cerebral aneurysms, depends weakly on the material description. In this article, we present a population study to further demonstrate the inverse method, in particular, the remarkable feature of insensitivity to material properties. Twenty-six aneurysm models derived from patient-specific images were employed in the study. Wall stresses were predicted in both the inverse and forward approaches using three material models. Results showed that, while forward computation yielded up to ~100% stress difference between some materials, the inverse solutions stayed close across materials. The inverse method, in addition to being methodologically accurate in dealing with pre-deformations, has the added convenience of insensitivity to uncertainties in wall tissue properties. New insight into the stress-geometry relation was also discussed. |
doi_str_mv | 10.1007/s10439-013-0751-4 |
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In quasi-static analysis, there are two distinct approaches that one may take, the forward approach and the inverse approach. The inverse approach starts from a deformed configuration and thus is naturally suited to image-based, patient-specific analysis. Early studies by the authors’ team suggested that the inverse approach, in the context of estimating the wall stress in cerebral aneurysms, depends weakly on the material description. In this article, we present a population study to further demonstrate the inverse method, in particular, the remarkable feature of insensitivity to material properties. Twenty-six aneurysm models derived from patient-specific images were employed in the study. Wall stresses were predicted in both the inverse and forward approaches using three material models. Results showed that, while forward computation yielded up to ~100% stress difference between some materials, the inverse solutions stayed close across materials. The inverse method, in addition to being methodologically accurate in dealing with pre-deformations, has the added convenience of insensitivity to uncertainties in wall tissue properties. New insight into the stress-geometry relation was also discussed.</description><identifier>ISSN: 0090-6964</identifier><identifier>EISSN: 1573-9686</identifier><identifier>EISSN: 1521-6047</identifier><identifier>DOI: 10.1007/s10439-013-0751-4</identifier><identifier>PMID: 23392863</identifier><language>eng</language><publisher>Boston: Springer US</publisher><subject>Angiography ; Arteries - pathology ; Arteries - physiopathology ; Biochemistry ; Biological and Medical Physics ; Biomechanics ; Biomedical and Life Sciences ; Biomedical Engineering and Bioengineering ; Biomedicine ; Biophysics ; Classical Mechanics ; Finite Element Analysis ; Humans ; Intracranial Aneurysm - diagnostic imaging ; Intracranial Aneurysm - pathology ; Intracranial Aneurysm - physiopathology ; Models, Biological ; Population studies ; Pressure ; Stress analysis ; Stress, Mechanical</subject><ispartof>Annals of biomedical engineering, 2013-07, Vol.41 (7), p.1505-1515</ispartof><rights>Biomedical Engineering Society 2013</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c503t-9f72f48608532f10ad10a9683af6236f919209c7baf1e064cd6a68cd6a7e37143</citedby><cites>FETCH-LOGICAL-c503t-9f72f48608532f10ad10a9683af6236f919209c7baf1e064cd6a68cd6a7e37143</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10439-013-0751-4$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10439-013-0751-4$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>230,314,776,780,881,27903,27904,41467,42536,51297</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/23392863$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Lu, Jia</creatorcontrib><creatorcontrib>Hu, Shouhua</creatorcontrib><creatorcontrib>Raghavan, Madhavan L.</creatorcontrib><title>A Shell-Based Inverse Approach of Stress Analysis in Intracranial Aneurysms</title><title>Annals of biomedical engineering</title><addtitle>Ann Biomed Eng</addtitle><addtitle>Ann Biomed Eng</addtitle><description>Predicting pressure induced wall stress in intracranial aneurysms continues to be of interest for aneurysm safety assessment. In quasi-static analysis, there are two distinct approaches that one may take, the forward approach and the inverse approach. The inverse approach starts from a deformed configuration and thus is naturally suited to image-based, patient-specific analysis. Early studies by the authors’ team suggested that the inverse approach, in the context of estimating the wall stress in cerebral aneurysms, depends weakly on the material description. In this article, we present a population study to further demonstrate the inverse method, in particular, the remarkable feature of insensitivity to material properties. Twenty-six aneurysm models derived from patient-specific images were employed in the study. Wall stresses were predicted in both the inverse and forward approaches using three material models. Results showed that, while forward computation yielded up to ~100% stress difference between some materials, the inverse solutions stayed close across materials. The inverse method, in addition to being methodologically accurate in dealing with pre-deformations, has the added convenience of insensitivity to uncertainties in wall tissue properties. New insight into the stress-geometry relation was also discussed.</description><subject>Angiography</subject><subject>Arteries - pathology</subject><subject>Arteries - physiopathology</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>Classical Mechanics</subject><subject>Finite Element Analysis</subject><subject>Humans</subject><subject>Intracranial Aneurysm - diagnostic imaging</subject><subject>Intracranial Aneurysm - pathology</subject><subject>Intracranial Aneurysm - physiopathology</subject><subject>Models, Biological</subject><subject>Population studies</subject><subject>Pressure</subject><subject>Stress analysis</subject><subject>Stress, Mechanical</subject><issn>0090-6964</issn><issn>1573-9686</issn><issn>1521-6047</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNqNkUtLAzEUhYMoWh8_wI0MuHETvZlMXhuhii8UXFTXIU4TOzKdqbkdof_ejFWpguAiuYvz5eTeewjZZ3DMANQJMii4ocA4BSUYLdbIgAnFqZFarpMBgAEqjSy2yDbiCwBjmotNspVzbnIt-YDcDrPRxNc1PXPox9lN8-Yj-mw4m8XWlZOsDdloHj1iNmxcvcAKs6pJ2Dy6MrqmcnUSfBcXOMVdshFcjX7vs-6Qx8uLh_Nrend_dXM-vKOlAD6nJqg8FFqCFjwPDNw4ndQxd0HmXAbDTA6mVE8uMA-yKMfSSd3fynPFCr5DTpe-s-5p6sel77up7SxWUxcXtnWV_ak01cQ-t2-WS2U4mGRw9GkQ29fO49xOKyzTFlzj2w4t4yoHoVP5ByqlUEKrHj38hb60XUxb-6CELiCNnCi2pMrYIkYfvvtmYPtU7TJVm1K1faq2H_hgdeDvF18xJiBfApik5tnHla__dH0Hj7irpQ</recordid><startdate>20130701</startdate><enddate>20130701</enddate><creator>Lu, Jia</creator><creator>Hu, Shouhua</creator><creator>Raghavan, Madhavan L.</creator><general>Springer US</general><general>Springer Nature B.V</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>7TK</scope><scope>5PM</scope></search><sort><creationdate>20130701</creationdate><title>A Shell-Based Inverse Approach of Stress Analysis in Intracranial Aneurysms</title><author>Lu, Jia ; Hu, Shouhua ; Raghavan, Madhavan L.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c503t-9f72f48608532f10ad10a9683af6236f919209c7baf1e064cd6a68cd6a7e37143</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Angiography</topic><topic>Arteries - pathology</topic><topic>Arteries - physiopathology</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>Classical Mechanics</topic><topic>Finite Element Analysis</topic><topic>Humans</topic><topic>Intracranial Aneurysm - diagnostic imaging</topic><topic>Intracranial Aneurysm - pathology</topic><topic>Intracranial Aneurysm - physiopathology</topic><topic>Models, Biological</topic><topic>Population studies</topic><topic>Pressure</topic><topic>Stress analysis</topic><topic>Stress, Mechanical</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lu, Jia</creatorcontrib><creatorcontrib>Hu, Shouhua</creatorcontrib><creatorcontrib>Raghavan, Madhavan L.</creatorcontrib><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>Aluminium Industry Abstracts</collection><collection>Biotechnology Research Abstracts</collection><collection>Ceramic Abstracts</collection><collection>Computer and Information Systems Abstracts</collection><collection>Corrosion Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>Materials Business File</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>METADEX</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>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection (ProQuest)</collection><collection>Natural Science Collection (ProQuest)</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ANTE: Abstracts in New Technology & Engineering</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>Aerospace Database</collection><collection>Copper Technical Reference Library</collection><collection>SciTech Premium Collection</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Civil Engineering Abstracts</collection><collection>ProQuest Engineering Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>ProQuest Biological Science Collection</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</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>MEDLINE - Academic</collection><collection>Neurosciences Abstracts</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Annals of biomedical engineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lu, Jia</au><au>Hu, Shouhua</au><au>Raghavan, Madhavan L.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Shell-Based Inverse Approach of Stress Analysis in Intracranial Aneurysms</atitle><jtitle>Annals of biomedical engineering</jtitle><stitle>Ann Biomed Eng</stitle><addtitle>Ann Biomed Eng</addtitle><date>2013-07-01</date><risdate>2013</risdate><volume>41</volume><issue>7</issue><spage>1505</spage><epage>1515</epage><pages>1505-1515</pages><issn>0090-6964</issn><eissn>1573-9686</eissn><eissn>1521-6047</eissn><abstract>Predicting pressure induced wall stress in intracranial aneurysms continues to be of interest for aneurysm safety assessment. In quasi-static analysis, there are two distinct approaches that one may take, the forward approach and the inverse approach. The inverse approach starts from a deformed configuration and thus is naturally suited to image-based, patient-specific analysis. Early studies by the authors’ team suggested that the inverse approach, in the context of estimating the wall stress in cerebral aneurysms, depends weakly on the material description. In this article, we present a population study to further demonstrate the inverse method, in particular, the remarkable feature of insensitivity to material properties. Twenty-six aneurysm models derived from patient-specific images were employed in the study. Wall stresses were predicted in both the inverse and forward approaches using three material models. Results showed that, while forward computation yielded up to ~100% stress difference between some materials, the inverse solutions stayed close across materials. The inverse method, in addition to being methodologically accurate in dealing with pre-deformations, has the added convenience of insensitivity to uncertainties in wall tissue properties. New insight into the stress-geometry relation was also discussed.</abstract><cop>Boston</cop><pub>Springer US</pub><pmid>23392863</pmid><doi>10.1007/s10439-013-0751-4</doi><tpages>11</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Angiography Arteries - pathology Arteries - physiopathology Biochemistry Biological and Medical Physics Biomechanics Biomedical and Life Sciences Biomedical Engineering and Bioengineering Biomedicine Biophysics Classical Mechanics Finite Element Analysis Humans Intracranial Aneurysm - diagnostic imaging Intracranial Aneurysm - pathology Intracranial Aneurysm - physiopathology Models, Biological Population studies Pressure Stress analysis Stress, Mechanical |
title | A Shell-Based Inverse Approach of Stress Analysis in Intracranial Aneurysms |
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