An innovative 3D-3D superimposition for assessing anatomical uniqueness of frontal sinuses through segmentation on CT scans
Anatomical uniqueness plays a significant role in the personal identification process of unknown deceased. Frontal sinuses have been widely used in the past decades for this purpose, mostly using 2D X-ray techniques. However, the modern 3D CT-based segmentation methods may help in developing novel a...
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| Veröffentlicht in: | International journal of legal medicine 2019-07, Vol.133 (4), p.1159-1165 |
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| creator | Gibelli, Daniele Cellina, Michaela Cappella, Annalisa Gibelli, Stefano Panzeri, Marta Maria Oliva, Antonio Giancarlo Termine, Giovanni De Angelis, Danilo Cattaneo, Cristina Sforza, Chiarella |
| description | Anatomical uniqueness plays a significant role in the personal identification process of unknown deceased. Frontal sinuses have been widely used in the past decades for this purpose, mostly using 2D X-ray techniques. However, the modern 3D CT-based segmentation methods may help in developing novel and more reliable methods of identification. This study aims at assessing the anatomical uniqueness of frontal sinuses through the 3D model registration. Thirty subjects who underwent two maxillofacial CT scans (interval: 1 month to 5 years) were selected from a hospital database. Frontal sinuses were automatically segmented through ITK-SNAP open source software and the 3D models belonging to the same patient were automatically superimposed according to the least point-to-point difference between the two surfaces. Two hundred patients were randomly selected from the same database and undergo the same procedure to perform 200 superimpositions of frontal sinuses belonging to different individuals, equally divided between males and females (mismatches). Statistically significant differences of average root mean square (RMS) point-to-point distance between the group of matches and mismatches, as well as possible differences according to sex, were assessed through Mann-Whitney
U
test (
p
|
| doi_str_mv | 10.1007/s00414-018-1895-4 |
| format | Article |
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U
test (
p
< 0.05). In the group of matches, RMS ranged between 0.07 and 0.96 mm (mean RMS 0.35 ± 0.23 mm), while in the group of mismatches, it ranged between 0.96 and 10.29 mm (mean RMS 2.59 ± 1.79 mm), with a statistically significant difference (
p
< 0.0001). Neither the matches nor the mismatches group showed statistically significant differences according to sex. This study proposes a novel 3D approach for the assessment of anatomical uniqueness of frontal sinuses, providing both morphological and quantitative analysis, and a new method of identification based on 3D assessment of frontal sinuses, applicable when ante-mortem CT scans are available.</description><identifier>ISSN: 0937-9827</identifier><identifier>EISSN: 1437-1596</identifier><identifier>DOI: 10.1007/s00414-018-1895-4</identifier><identifier>PMID: 30039273</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Adult ; Computed tomography ; Female ; Forensic Anthropology - methods ; Forensic Medicine ; Frontal Sinus - diagnostic imaging ; Frontal Sinus - pathology ; Humans ; Identification methods ; Image Processing, Computer-Assisted - methods ; Imaging, Three-Dimensional - methods ; Male ; Medical imaging ; Medical Law ; Medicine ; Medicine & Public Health ; Original Article ; Quantitative analysis ; Radiographic Image Interpretation, Computer-Assisted - methods ; Segmentation ; Sex ; Sinuses ; Statistical significance ; Three dimensional models ; Tomography, X-Ray Computed - methods ; Uniqueness</subject><ispartof>International journal of legal medicine, 2019-07, Vol.133 (4), p.1159-1165</ispartof><rights>Springer-Verlag GmbH Germany, part of Springer Nature 2018</rights><rights>International Journal of Legal Medicine is a copyright of Springer, (2018). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c372t-955b27adcaf514b4587e77f9939fd37c7031a49e335fe5191885863bcef411753</citedby><cites>FETCH-LOGICAL-c372t-955b27adcaf514b4587e77f9939fd37c7031a49e335fe5191885863bcef411753</cites><orcidid>0000-0002-9591-1047</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00414-018-1895-4$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00414-018-1895-4$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30039273$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Gibelli, Daniele</creatorcontrib><creatorcontrib>Cellina, Michaela</creatorcontrib><creatorcontrib>Cappella, Annalisa</creatorcontrib><creatorcontrib>Gibelli, Stefano</creatorcontrib><creatorcontrib>Panzeri, Marta Maria</creatorcontrib><creatorcontrib>Oliva, Antonio Giancarlo</creatorcontrib><creatorcontrib>Termine, Giovanni</creatorcontrib><creatorcontrib>De Angelis, Danilo</creatorcontrib><creatorcontrib>Cattaneo, Cristina</creatorcontrib><creatorcontrib>Sforza, Chiarella</creatorcontrib><title>An innovative 3D-3D superimposition for assessing anatomical uniqueness of frontal sinuses through segmentation on CT scans</title><title>International journal of legal medicine</title><addtitle>Int J Legal Med</addtitle><addtitle>Int J Legal Med</addtitle><description>Anatomical uniqueness plays a significant role in the personal identification process of unknown deceased. Frontal sinuses have been widely used in the past decades for this purpose, mostly using 2D X-ray techniques. However, the modern 3D CT-based segmentation methods may help in developing novel and more reliable methods of identification. This study aims at assessing the anatomical uniqueness of frontal sinuses through the 3D model registration. Thirty subjects who underwent two maxillofacial CT scans (interval: 1 month to 5 years) were selected from a hospital database. Frontal sinuses were automatically segmented through ITK-SNAP open source software and the 3D models belonging to the same patient were automatically superimposed according to the least point-to-point difference between the two surfaces. Two hundred patients were randomly selected from the same database and undergo the same procedure to perform 200 superimpositions of frontal sinuses belonging to different individuals, equally divided between males and females (mismatches). Statistically significant differences of average root mean square (RMS) point-to-point distance between the group of matches and mismatches, as well as possible differences according to sex, were assessed through Mann-Whitney
U
test (
p
< 0.05). In the group of matches, RMS ranged between 0.07 and 0.96 mm (mean RMS 0.35 ± 0.23 mm), while in the group of mismatches, it ranged between 0.96 and 10.29 mm (mean RMS 2.59 ± 1.79 mm), with a statistically significant difference (
p
< 0.0001). Neither the matches nor the mismatches group showed statistically significant differences according to sex. This study proposes a novel 3D approach for the assessment of anatomical uniqueness of frontal sinuses, providing both morphological and quantitative analysis, and a new method of identification based on 3D assessment of frontal sinuses, applicable when ante-mortem CT scans are available.</description><subject>Adult</subject><subject>Computed tomography</subject><subject>Female</subject><subject>Forensic Anthropology - methods</subject><subject>Forensic Medicine</subject><subject>Frontal Sinus - diagnostic imaging</subject><subject>Frontal Sinus - pathology</subject><subject>Humans</subject><subject>Identification methods</subject><subject>Image Processing, Computer-Assisted - methods</subject><subject>Imaging, Three-Dimensional - methods</subject><subject>Male</subject><subject>Medical imaging</subject><subject>Medical Law</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Original Article</subject><subject>Quantitative analysis</subject><subject>Radiographic Image Interpretation, Computer-Assisted - methods</subject><subject>Segmentation</subject><subject>Sex</subject><subject>Sinuses</subject><subject>Statistical significance</subject><subject>Three dimensional models</subject><subject>Tomography, X-Ray Computed - methods</subject><subject>Uniqueness</subject><issn>0937-9827</issn><issn>1437-1596</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNp1kU9rGzEQxUVoSZw_HyCXIugll200K8mzOgYnbQqBXJKzkNeSo-CVXM1uoPTLV66TFAoFwQi93zwN8xg7B_EFhMBLEkKBagR0DXRGN-qAzUBJbECb-Qc2E6beTdfiETsmehYCcI76kB1JIaRpUc7Yr6vEY0r5xY3xxXN53chrTtPWlzhsM8Ux5sRDLtwReaKY1twlN-Yh9m7DpxR_TD5VgefAQ8lprK-VmirMx6eSp_UTJ78efFX-eNWzeODUu0Sn7GNwG_Jnr_WEPX69eVjcNnf3374vru6aXmI7NkbrZYtu1bugQS2V7tAjBmOkCSuJPQoJThkvpQ5eg4Gu091cLnsfFABqecIu9r7bkuu4NNohUu83G5d8nsi2ArVWGlVb0c__oM95KqlOt6Nkh6YFUSnYU33JRMUHu63rcuWnBWF3ydh9MrYmY3fJWFV7Pr06T8vBr9473qKoQLsHqEpp7cvfr__v-hvQhJmL</recordid><startdate>20190701</startdate><enddate>20190701</enddate><creator>Gibelli, Daniele</creator><creator>Cellina, Michaela</creator><creator>Cappella, Annalisa</creator><creator>Gibelli, Stefano</creator><creator>Panzeri, Marta Maria</creator><creator>Oliva, Antonio Giancarlo</creator><creator>Termine, Giovanni</creator><creator>De Angelis, Danilo</creator><creator>Cattaneo, Cristina</creator><creator>Sforza, Chiarella</creator><general>Springer Berlin Heidelberg</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>0-V</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AM</scope><scope>8AO</scope><scope>8FE</scope><scope>8FG</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ALSLI</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BGRYB</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>HCIFZ</scope><scope>K7.</scope><scope>K9.</scope><scope>L6V</scope><scope>M0O</scope><scope>M0S</scope><scope>M1P</scope><scope>M7S</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>Q9U</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-9591-1047</orcidid></search><sort><creationdate>20190701</creationdate><title>An innovative 3D-3D superimposition for assessing anatomical uniqueness of frontal sinuses through segmentation on CT scans</title><author>Gibelli, Daniele ; Cellina, Michaela ; Cappella, Annalisa ; Gibelli, Stefano ; Panzeri, Marta Maria ; Oliva, Antonio Giancarlo ; Termine, Giovanni ; De Angelis, Danilo ; Cattaneo, Cristina ; Sforza, Chiarella</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c372t-955b27adcaf514b4587e77f9939fd37c7031a49e335fe5191885863bcef411753</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Adult</topic><topic>Computed tomography</topic><topic>Female</topic><topic>Forensic Anthropology - methods</topic><topic>Forensic Medicine</topic><topic>Frontal Sinus - diagnostic imaging</topic><topic>Frontal Sinus - pathology</topic><topic>Humans</topic><topic>Identification methods</topic><topic>Image Processing, Computer-Assisted - methods</topic><topic>Imaging, Three-Dimensional - methods</topic><topic>Male</topic><topic>Medical imaging</topic><topic>Medical Law</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Original Article</topic><topic>Quantitative analysis</topic><topic>Radiographic Image Interpretation, Computer-Assisted - methods</topic><topic>Segmentation</topic><topic>Sex</topic><topic>Sinuses</topic><topic>Statistical significance</topic><topic>Three dimensional models</topic><topic>Tomography, X-Ray Computed - methods</topic><topic>Uniqueness</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Gibelli, Daniele</creatorcontrib><creatorcontrib>Cellina, Michaela</creatorcontrib><creatorcontrib>Cappella, Annalisa</creatorcontrib><creatorcontrib>Gibelli, Stefano</creatorcontrib><creatorcontrib>Panzeri, Marta Maria</creatorcontrib><creatorcontrib>Oliva, Antonio Giancarlo</creatorcontrib><creatorcontrib>Termine, Giovanni</creatorcontrib><creatorcontrib>De Angelis, Danilo</creatorcontrib><creatorcontrib>Cattaneo, Cristina</creatorcontrib><creatorcontrib>Sforza, Chiarella</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 Social Sciences Premium Collection</collection><collection>ProQuest Central (Corporate)</collection><collection>ProQuest Health and Medical</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Criminal Justice Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology 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 Central UK/Ireland</collection><collection>Social Science Premium Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Criminology 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>SciTech Premium Collection</collection><collection>ProQuest Criminal Justice (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Criminal Justice</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Engineering 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 China</collection><collection>Engineering Collection</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><jtitle>International journal of legal medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gibelli, Daniele</au><au>Cellina, Michaela</au><au>Cappella, Annalisa</au><au>Gibelli, Stefano</au><au>Panzeri, Marta Maria</au><au>Oliva, Antonio Giancarlo</au><au>Termine, Giovanni</au><au>De Angelis, Danilo</au><au>Cattaneo, Cristina</au><au>Sforza, Chiarella</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>An innovative 3D-3D superimposition for assessing anatomical uniqueness of frontal sinuses through segmentation on CT scans</atitle><jtitle>International journal of legal medicine</jtitle><stitle>Int J Legal Med</stitle><addtitle>Int J Legal Med</addtitle><date>2019-07-01</date><risdate>2019</risdate><volume>133</volume><issue>4</issue><spage>1159</spage><epage>1165</epage><pages>1159-1165</pages><issn>0937-9827</issn><eissn>1437-1596</eissn><abstract>Anatomical uniqueness plays a significant role in the personal identification process of unknown deceased. Frontal sinuses have been widely used in the past decades for this purpose, mostly using 2D X-ray techniques. However, the modern 3D CT-based segmentation methods may help in developing novel and more reliable methods of identification. This study aims at assessing the anatomical uniqueness of frontal sinuses through the 3D model registration. Thirty subjects who underwent two maxillofacial CT scans (interval: 1 month to 5 years) were selected from a hospital database. Frontal sinuses were automatically segmented through ITK-SNAP open source software and the 3D models belonging to the same patient were automatically superimposed according to the least point-to-point difference between the two surfaces. Two hundred patients were randomly selected from the same database and undergo the same procedure to perform 200 superimpositions of frontal sinuses belonging to different individuals, equally divided between males and females (mismatches). Statistically significant differences of average root mean square (RMS) point-to-point distance between the group of matches and mismatches, as well as possible differences according to sex, were assessed through Mann-Whitney
U
test (
p
< 0.05). In the group of matches, RMS ranged between 0.07 and 0.96 mm (mean RMS 0.35 ± 0.23 mm), while in the group of mismatches, it ranged between 0.96 and 10.29 mm (mean RMS 2.59 ± 1.79 mm), with a statistically significant difference (
p
< 0.0001). Neither the matches nor the mismatches group showed statistically significant differences according to sex. This study proposes a novel 3D approach for the assessment of anatomical uniqueness of frontal sinuses, providing both morphological and quantitative analysis, and a new method of identification based on 3D assessment of frontal sinuses, applicable when ante-mortem CT scans are available.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>30039273</pmid><doi>10.1007/s00414-018-1895-4</doi><tpages>7</tpages><orcidid>https://orcid.org/0000-0002-9591-1047</orcidid></addata></record> |
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| ispartof | International journal of legal medicine, 2019-07, Vol.133 (4), p.1159-1165 |
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| subjects | Adult Computed tomography Female Forensic Anthropology - methods Forensic Medicine Frontal Sinus - diagnostic imaging Frontal Sinus - pathology Humans Identification methods Image Processing, Computer-Assisted - methods Imaging, Three-Dimensional - methods Male Medical imaging Medical Law Medicine Medicine & Public Health Original Article Quantitative analysis Radiographic Image Interpretation, Computer-Assisted - methods Segmentation Sex Sinuses Statistical significance Three dimensional models Tomography, X-Ray Computed - methods Uniqueness |
| title | An innovative 3D-3D superimposition for assessing anatomical uniqueness of frontal sinuses through segmentation on CT scans |
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