Child head injury criteria investigation through numerical simulation of real world trauma
Abstract Finite element modelling has been used for decades in the study of adult head injury biomechanics and determination of injury criteria. Interest is recently growing in investigation on pediatric head injury which requires elaboration of biofidelic models that take into account child’s head...
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Veröffentlicht in: | Computer methods and programs in biomedicine 2009-01, Vol.93 (1), p.32-45 |
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description | Abstract Finite element modelling has been used for decades in the study of adult head injury biomechanics and determination of injury criteria. Interest is recently growing in investigation on pediatric head injury which requires elaboration of biofidelic models that take into account child’s head particularities in terms of size, geometry, and mechanical properties. In this study, a finite element model of a 3-year-old child head is proposed. The model is reconstructed from real CT scan images and mechanical properties are extracted from available data in the literature. A large number of real accidents (25 falls) are reconstructed with proposed model using different brain constitutive relationships in order to investigate their influence on model response. Mechanical output parameters (HIC, pressure, shearing stress) are calculated from these simulations. Statistical analysis was performed in order to evaluate predictive capability of the parameters. Von Mises stress appears to be clearly the most predictive parameters, allowing clear distinction between injured and non-injured cases. To the authors’ knowledge, this study proposes for the first time a statistically based neurological injury criterion for a pediatric population using finite element modelling. |
doi_str_mv | 10.1016/j.cmpb.2008.08.001 |
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Interest is recently growing in investigation on pediatric head injury which requires elaboration of biofidelic models that take into account child’s head particularities in terms of size, geometry, and mechanical properties. In this study, a finite element model of a 3-year-old child head is proposed. The model is reconstructed from real CT scan images and mechanical properties are extracted from available data in the literature. A large number of real accidents (25 falls) are reconstructed with proposed model using different brain constitutive relationships in order to investigate their influence on model response. Mechanical output parameters (HIC, pressure, shearing stress) are calculated from these simulations. Statistical analysis was performed in order to evaluate predictive capability of the parameters. Von Mises stress appears to be clearly the most predictive parameters, allowing clear distinction between injured and non-injured cases. To the authors’ knowledge, this study proposes for the first time a statistically based neurological injury criterion for a pediatric population using finite element modelling.</description><identifier>ISSN: 0169-2607</identifier><identifier>EISSN: 1872-7565</identifier><identifier>DOI: 10.1016/j.cmpb.2008.08.001</identifier><identifier>PMID: 18823675</identifier><language>eng</language><publisher>Ireland: Elsevier Ireland Ltd</publisher><subject>Accident reconstructions ; Accidental Falls - statistics & numerical data ; Biomechanical Phenomena ; Biometry ; Brain Injuries - cerebrospinal fluid ; Brain Injuries - diagnosis ; Brain Injuries - diagnostic imaging ; Brain Injuries - physiopathology ; Child head ; Child, Preschool ; Computer Simulation ; Craniocerebral Trauma - cerebrospinal fluid ; Craniocerebral Trauma - diagnosis ; Craniocerebral Trauma - diagnostic imaging ; Craniocerebral Trauma - physiopathology ; Finite Element Analysis ; Finite element modelling ; Humans ; Imaging, Three-Dimensional ; Internal Medicine ; Models, Anatomic ; Models, Neurological ; Neurological injuries ; Other ; Scalp - diagnostic imaging ; Scalp - physiopathology ; Skull - diagnostic imaging ; Skull - physiopathology ; Tomography, X-Ray Computed</subject><ispartof>Computer methods and programs in biomedicine, 2009-01, Vol.93 (1), p.32-45</ispartof><rights>Elsevier Ireland Ltd</rights><rights>2008 Elsevier Ireland Ltd</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c540t-e6866556fb20784c58aa9a21c69c1149e9f53baa723a9a9868f19d92e9a75c453</citedby><cites>FETCH-LOGICAL-c540t-e6866556fb20784c58aa9a21c69c1149e9f53baa723a9a9868f19d92e9a75c453</cites><orcidid>0000-0002-2156-0619</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.cmpb.2008.08.001$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>230,314,780,784,885,3550,27924,27925,45995</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/18823675$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://hal.science/hal-00593217$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Roth, Sebastien</creatorcontrib><creatorcontrib>Vappou, Jonathan</creatorcontrib><creatorcontrib>Raul, Jean-Sebastien</creatorcontrib><creatorcontrib>Willinger, Rémy</creatorcontrib><title>Child head injury criteria investigation through numerical simulation of real world trauma</title><title>Computer methods and programs in biomedicine</title><addtitle>Comput Methods Programs Biomed</addtitle><description>Abstract Finite element modelling has been used for decades in the study of adult head injury biomechanics and determination of injury criteria. Interest is recently growing in investigation on pediatric head injury which requires elaboration of biofidelic models that take into account child’s head particularities in terms of size, geometry, and mechanical properties. In this study, a finite element model of a 3-year-old child head is proposed. The model is reconstructed from real CT scan images and mechanical properties are extracted from available data in the literature. A large number of real accidents (25 falls) are reconstructed with proposed model using different brain constitutive relationships in order to investigate their influence on model response. Mechanical output parameters (HIC, pressure, shearing stress) are calculated from these simulations. Statistical analysis was performed in order to evaluate predictive capability of the parameters. Von Mises stress appears to be clearly the most predictive parameters, allowing clear distinction between injured and non-injured cases. To the authors’ knowledge, this study proposes for the first time a statistically based neurological injury criterion for a pediatric population using finite element modelling.</description><subject>Accident reconstructions</subject><subject>Accidental Falls - statistics & numerical data</subject><subject>Biomechanical Phenomena</subject><subject>Biometry</subject><subject>Brain Injuries - cerebrospinal fluid</subject><subject>Brain Injuries - diagnosis</subject><subject>Brain Injuries - diagnostic imaging</subject><subject>Brain Injuries - physiopathology</subject><subject>Child head</subject><subject>Child, Preschool</subject><subject>Computer Simulation</subject><subject>Craniocerebral Trauma - cerebrospinal fluid</subject><subject>Craniocerebral Trauma - diagnosis</subject><subject>Craniocerebral Trauma - diagnostic imaging</subject><subject>Craniocerebral Trauma - physiopathology</subject><subject>Finite Element Analysis</subject><subject>Finite element modelling</subject><subject>Humans</subject><subject>Imaging, Three-Dimensional</subject><subject>Internal Medicine</subject><subject>Models, Anatomic</subject><subject>Models, Neurological</subject><subject>Neurological injuries</subject><subject>Other</subject><subject>Scalp - diagnostic imaging</subject><subject>Scalp - physiopathology</subject><subject>Skull - diagnostic imaging</subject><subject>Skull - physiopathology</subject><subject>Tomography, X-Ray Computed</subject><issn>0169-2607</issn><issn>1872-7565</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkkGr1DAQx4MovnX1C3iQngQPXSdpkyYgwmNRn7DgQb14Cdk0fU1tmzVpVvbbm9BFwYNCIGTmN38m8x-EnmPYYcDs9bDT0-m4IwB8lw_gB2iDeUPKhjL6EG0SJErCoLlBT0IYAIBQyh6jG8w5qVhDN-jbvrdjW_RGtYWdh-gvhfZ2Md6q9D6bsNh7tVg3F0vvXbzvizlOKavVWAQ7xXFNuq7wJoV-Op_UFq_ipJ6iR50ag3l2vbfo6_t3X_Z35eHTh4_720OpaQ1LaRhnLLXVHQk0vNaUKyUUwZoJjXEtjOhodVSqIVWKC854h0UriBGqobqm1Ra9WnV7NcqTt5PyF-mUlXe3B5ljAFRUBDdnnNiXK3vy7kdMv5OTDdqMo5qNi0EyxqEmhP4XJFDxhqYpbhFZQe1dCN50v1vAILNNcpDZJpltkvlAbuPFVT0eJ9P-Kbn6koA3K2DS4M7WeBm0NbM2rfVGL7J19t_6b_8q16Ods2nfzcWEwUU_J0skloFIkJ_zouQ9AZ5WBGpW_QKVOLfw</recordid><startdate>20090101</startdate><enddate>20090101</enddate><creator>Roth, Sebastien</creator><creator>Vappou, Jonathan</creator><creator>Raul, Jean-Sebastien</creator><creator>Willinger, Rémy</creator><general>Elsevier Ireland Ltd</general><general>Elsevier</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>7QO</scope><scope>8FD</scope><scope>FR3</scope><scope>P64</scope><scope>7X8</scope><scope>1XC</scope><orcidid>https://orcid.org/0000-0002-2156-0619</orcidid></search><sort><creationdate>20090101</creationdate><title>Child head injury criteria investigation through numerical simulation of real world trauma</title><author>Roth, Sebastien ; Vappou, Jonathan ; Raul, Jean-Sebastien ; Willinger, Rémy</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c540t-e6866556fb20784c58aa9a21c69c1149e9f53baa723a9a9868f19d92e9a75c453</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Accident reconstructions</topic><topic>Accidental Falls - statistics & numerical data</topic><topic>Biomechanical Phenomena</topic><topic>Biometry</topic><topic>Brain Injuries - cerebrospinal fluid</topic><topic>Brain Injuries - diagnosis</topic><topic>Brain Injuries - diagnostic imaging</topic><topic>Brain Injuries - physiopathology</topic><topic>Child head</topic><topic>Child, Preschool</topic><topic>Computer Simulation</topic><topic>Craniocerebral Trauma - cerebrospinal fluid</topic><topic>Craniocerebral Trauma - diagnosis</topic><topic>Craniocerebral Trauma - diagnostic imaging</topic><topic>Craniocerebral Trauma - physiopathology</topic><topic>Finite Element Analysis</topic><topic>Finite element modelling</topic><topic>Humans</topic><topic>Imaging, Three-Dimensional</topic><topic>Internal Medicine</topic><topic>Models, Anatomic</topic><topic>Models, Neurological</topic><topic>Neurological injuries</topic><topic>Other</topic><topic>Scalp - diagnostic imaging</topic><topic>Scalp - physiopathology</topic><topic>Skull - diagnostic imaging</topic><topic>Skull - physiopathology</topic><topic>Tomography, X-Ray Computed</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Roth, Sebastien</creatorcontrib><creatorcontrib>Vappou, Jonathan</creatorcontrib><creatorcontrib>Raul, Jean-Sebastien</creatorcontrib><creatorcontrib>Willinger, Rémy</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Biotechnology Research Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><collection>Hyper Article en Ligne (HAL)</collection><jtitle>Computer methods and programs in biomedicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Roth, Sebastien</au><au>Vappou, Jonathan</au><au>Raul, Jean-Sebastien</au><au>Willinger, Rémy</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Child head injury criteria investigation through numerical simulation of real world trauma</atitle><jtitle>Computer methods and programs in biomedicine</jtitle><addtitle>Comput Methods Programs Biomed</addtitle><date>2009-01-01</date><risdate>2009</risdate><volume>93</volume><issue>1</issue><spage>32</spage><epage>45</epage><pages>32-45</pages><issn>0169-2607</issn><eissn>1872-7565</eissn><abstract>Abstract Finite element modelling has been used for decades in the study of adult head injury biomechanics and determination of injury criteria. Interest is recently growing in investigation on pediatric head injury which requires elaboration of biofidelic models that take into account child’s head particularities in terms of size, geometry, and mechanical properties. In this study, a finite element model of a 3-year-old child head is proposed. The model is reconstructed from real CT scan images and mechanical properties are extracted from available data in the literature. A large number of real accidents (25 falls) are reconstructed with proposed model using different brain constitutive relationships in order to investigate their influence on model response. Mechanical output parameters (HIC, pressure, shearing stress) are calculated from these simulations. Statistical analysis was performed in order to evaluate predictive capability of the parameters. Von Mises stress appears to be clearly the most predictive parameters, allowing clear distinction between injured and non-injured cases. To the authors’ knowledge, this study proposes for the first time a statistically based neurological injury criterion for a pediatric population using finite element modelling.</abstract><cop>Ireland</cop><pub>Elsevier Ireland Ltd</pub><pmid>18823675</pmid><doi>10.1016/j.cmpb.2008.08.001</doi><tpages>14</tpages><orcidid>https://orcid.org/0000-0002-2156-0619</orcidid></addata></record> |
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subjects | Accident reconstructions Accidental Falls - statistics & numerical data Biomechanical Phenomena Biometry Brain Injuries - cerebrospinal fluid Brain Injuries - diagnosis Brain Injuries - diagnostic imaging Brain Injuries - physiopathology Child head Child, Preschool Computer Simulation Craniocerebral Trauma - cerebrospinal fluid Craniocerebral Trauma - diagnosis Craniocerebral Trauma - diagnostic imaging Craniocerebral Trauma - physiopathology Finite Element Analysis Finite element modelling Humans Imaging, Three-Dimensional Internal Medicine Models, Anatomic Models, Neurological Neurological injuries Other Scalp - diagnostic imaging Scalp - physiopathology Skull - diagnostic imaging Skull - physiopathology Tomography, X-Ray Computed |
title | Child head injury criteria investigation through numerical simulation of real world trauma |
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