Automatic Sex Determination of Skulls Based on a Statistical Shape Model
Sex determination from skeletons is an important research subject in forensic medicine. Previous skeletal sex assessments are through subjective visual analysis by anthropologists or metric analysis of sexually dimorphic features. In this work, we present an automatic sex determination method for 3D...
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| Veröffentlicht in: | Computational and mathematical methods in medicine 2013-01, Vol.2013 (2013), p.1-6 |
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| container_title | Computational and mathematical methods in medicine |
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| creator | Wang, Mengyang Duan, Fu-qing Luo, Li Rozenholc, Yves Zhou, Ming-Quan Wu, Zhongke Tian, Yun |
| description | Sex determination from skeletons is an important research subject in forensic medicine. Previous skeletal sex assessments are through subjective visual analysis by anthropologists or metric analysis of sexually dimorphic features. In this work, we present an automatic sex determination method for 3D digital skulls, in which a statistical shape model for skulls is constructed, which projects the high-dimensional skull data into a low-dimensional shape space, and Fisher discriminant analysis is used to classify skulls in the shape space. This method combines the advantages of metrical and morphological methods. It is easy to use without professional qualification and tedious manual measurement. With a group of Chinese skulls including 127 males and 81 females, we choose 92 males and 58 females to establish the discriminant model and validate the model with the other skulls. The correct rate is 95.7% and 91.4% for females and males, respectively. Leave-one-out test also shows that the method has a high accuracy. |
| doi_str_mv | 10.1155/2013/251628 |
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Previous skeletal sex assessments are through subjective visual analysis by anthropologists or metric analysis of sexually dimorphic features. In this work, we present an automatic sex determination method for 3D digital skulls, in which a statistical shape model for skulls is constructed, which projects the high-dimensional skull data into a low-dimensional shape space, and Fisher discriminant analysis is used to classify skulls in the shape space. This method combines the advantages of metrical and morphological methods. It is easy to use without professional qualification and tedious manual measurement. With a group of Chinese skulls including 127 males and 81 females, we choose 92 males and 58 females to establish the discriminant model and validate the model with the other skulls. The correct rate is 95.7% and 91.4% for females and males, respectively. Leave-one-out test also shows that the method has a high accuracy.</description><identifier>ISSN: 1748-670X</identifier><identifier>EISSN: 1748-6718</identifier><identifier>DOI: 10.1155/2013/251628</identifier><identifier>PMID: 24312134</identifier><language>eng</language><publisher>Cairo, Egypt: Hindawi Puplishing Corporation</publisher><subject>Adult ; Aged ; Asian Continental Ancestry Group ; Bioengineering ; China ; Engineering Sciences ; Female ; Forensic Anthropology - statistics & numerical data ; Humans ; Imaging ; Imaging, Three-Dimensional ; Life Sciences ; Male ; Middle Aged ; Models, Anatomic ; Models, Statistical ; Sex Determination by Skeleton - statistics & numerical data ; Signal and Image processing ; Skull - anatomy & histology ; Skull - diagnostic imaging ; Tomography, X-Ray Computed ; Young Adult</subject><ispartof>Computational and mathematical methods in medicine, 2013-01, Vol.2013 (2013), p.1-6</ispartof><rights>Copyright © 2013 Li Luo et al.</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><rights>Copyright © 2013 Li Luo et al. 2013</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c472t-d0b519ada0f9d1ebb1ecaad187db7c6a7387408f33b25c6813de471159254b523</citedby><cites>FETCH-LOGICAL-c472t-d0b519ada0f9d1ebb1ecaad187db7c6a7387408f33b25c6813de471159254b523</cites><orcidid>0000-0002-3849-8532</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/PMC3838841/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3838841/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,27903,27904,53770,53772</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/24312134$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://hal.science/hal-01108185$$DView record in HAL$$Hfree_for_read</backlink></links><search><contributor>Chen, Yunmei</contributor><creatorcontrib>Wang, Mengyang</creatorcontrib><creatorcontrib>Duan, Fu-qing</creatorcontrib><creatorcontrib>Luo, Li</creatorcontrib><creatorcontrib>Rozenholc, Yves</creatorcontrib><creatorcontrib>Zhou, Ming-Quan</creatorcontrib><creatorcontrib>Wu, Zhongke</creatorcontrib><creatorcontrib>Tian, Yun</creatorcontrib><title>Automatic Sex Determination of Skulls Based on a Statistical Shape Model</title><title>Computational and mathematical methods in medicine</title><addtitle>Comput Math Methods Med</addtitle><description>Sex determination from skeletons is an important research subject in forensic medicine. Previous skeletal sex assessments are through subjective visual analysis by anthropologists or metric analysis of sexually dimorphic features. In this work, we present an automatic sex determination method for 3D digital skulls, in which a statistical shape model for skulls is constructed, which projects the high-dimensional skull data into a low-dimensional shape space, and Fisher discriminant analysis is used to classify skulls in the shape space. This method combines the advantages of metrical and morphological methods. It is easy to use without professional qualification and tedious manual measurement. With a group of Chinese skulls including 127 males and 81 females, we choose 92 males and 58 females to establish the discriminant model and validate the model with the other skulls. The correct rate is 95.7% and 91.4% for females and males, respectively. Leave-one-out test also shows that the method has a high accuracy.</description><subject>Adult</subject><subject>Aged</subject><subject>Asian Continental Ancestry Group</subject><subject>Bioengineering</subject><subject>China</subject><subject>Engineering Sciences</subject><subject>Female</subject><subject>Forensic Anthropology - statistics & numerical data</subject><subject>Humans</subject><subject>Imaging</subject><subject>Imaging, Three-Dimensional</subject><subject>Life Sciences</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Models, Anatomic</subject><subject>Models, Statistical</subject><subject>Sex Determination by Skeleton - statistics & numerical data</subject><subject>Signal and Image processing</subject><subject>Skull - anatomy & histology</subject><subject>Skull - diagnostic imaging</subject><subject>Tomography, X-Ray Computed</subject><subject>Young Adult</subject><issn>1748-670X</issn><issn>1748-6718</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>RHX</sourceid><sourceid>EIF</sourceid><recordid>eNqFkcuP0zAQxi0EYpeFE2eQjzxU1uNH7F6QyvIoUhGHgsTNmsQTGkjiEicL_Pe4SqmAC6cZffObzx59jN0H8QzAmEspQF1KA4V0N9g5WO0WhQV389SLT2fsTkpfhDBgDdxmZ1IrkKD0OVuvpjF2ODYV39IP_pJGGrqmz0Lseaz59uvUtom_wESBZwn5dszDlBew5dsd7om_i4Hau-xWjW2ie8d6wT6-fvXhar3YvH_z9mq1WVTaynERRGlgiQFFvQxAZQlUIQZwNpS2KtAqZ7VwtVKlNFXhQAXSNt-5lEaXRqoL9nz23U9lR6Gifhyw9fuh6XD46SM2_u9J3-z853jtlVPOacgGj2eD3T9r69XGHzQBIBw4c31gHx0fG-K3idLouyZV1LbYU5ySB10YVyinbUafzmg1xJQGqk_eIPwhJ3_Iyc85Zfrhn1ec2N_BZODJ8ZdNH_B78x-3BzNMGaEaT7A21ginfgEIMKMP</recordid><startdate>20130101</startdate><enddate>20130101</enddate><creator>Wang, Mengyang</creator><creator>Duan, Fu-qing</creator><creator>Luo, Li</creator><creator>Rozenholc, Yves</creator><creator>Zhou, Ming-Quan</creator><creator>Wu, Zhongke</creator><creator>Tian, Yun</creator><general>Hindawi Puplishing Corporation</general><general>Hindawi Publishing Corporation</general><scope>ADJCN</scope><scope>AHFXO</scope><scope>RHU</scope><scope>RHW</scope><scope>RHX</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>7X8</scope><scope>1XC</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-3849-8532</orcidid></search><sort><creationdate>20130101</creationdate><title>Automatic Sex Determination of Skulls Based on a Statistical Shape Model</title><author>Wang, Mengyang ; Duan, Fu-qing ; Luo, Li ; Rozenholc, Yves ; Zhou, Ming-Quan ; Wu, Zhongke ; Tian, Yun</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c472t-d0b519ada0f9d1ebb1ecaad187db7c6a7387408f33b25c6813de471159254b523</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Asian Continental Ancestry Group</topic><topic>Bioengineering</topic><topic>China</topic><topic>Engineering Sciences</topic><topic>Female</topic><topic>Forensic Anthropology - statistics & numerical data</topic><topic>Humans</topic><topic>Imaging</topic><topic>Imaging, Three-Dimensional</topic><topic>Life Sciences</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Models, Anatomic</topic><topic>Models, Statistical</topic><topic>Sex Determination by Skeleton - statistics & numerical data</topic><topic>Signal and Image processing</topic><topic>Skull - anatomy & histology</topic><topic>Skull - diagnostic imaging</topic><topic>Tomography, X-Ray Computed</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wang, Mengyang</creatorcontrib><creatorcontrib>Duan, Fu-qing</creatorcontrib><creatorcontrib>Luo, Li</creatorcontrib><creatorcontrib>Rozenholc, Yves</creatorcontrib><creatorcontrib>Zhou, Ming-Quan</creatorcontrib><creatorcontrib>Wu, Zhongke</creatorcontrib><creatorcontrib>Tian, Yun</creatorcontrib><collection>الدوريات العلمية والإحصائية - e-Marefa Academic and Statistical Periodicals</collection><collection>معرفة - المحتوى العربي الأكاديمي المتكامل - e-Marefa Academic Complete</collection><collection>Hindawi Publishing Complete</collection><collection>Hindawi Publishing Subscription Journals</collection><collection>Hindawi Publishing Open Access</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>Hyper Article en Ligne (HAL)</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Computational and mathematical methods in medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wang, Mengyang</au><au>Duan, Fu-qing</au><au>Luo, Li</au><au>Rozenholc, Yves</au><au>Zhou, Ming-Quan</au><au>Wu, Zhongke</au><au>Tian, Yun</au><au>Chen, Yunmei</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Automatic Sex Determination of Skulls Based on a Statistical Shape Model</atitle><jtitle>Computational and mathematical methods in medicine</jtitle><addtitle>Comput Math Methods Med</addtitle><date>2013-01-01</date><risdate>2013</risdate><volume>2013</volume><issue>2013</issue><spage>1</spage><epage>6</epage><pages>1-6</pages><issn>1748-670X</issn><eissn>1748-6718</eissn><abstract>Sex determination from skeletons is an important research subject in forensic medicine. Previous skeletal sex assessments are through subjective visual analysis by anthropologists or metric analysis of sexually dimorphic features. In this work, we present an automatic sex determination method for 3D digital skulls, in which a statistical shape model for skulls is constructed, which projects the high-dimensional skull data into a low-dimensional shape space, and Fisher discriminant analysis is used to classify skulls in the shape space. This method combines the advantages of metrical and morphological methods. It is easy to use without professional qualification and tedious manual measurement. With a group of Chinese skulls including 127 males and 81 females, we choose 92 males and 58 females to establish the discriminant model and validate the model with the other skulls. The correct rate is 95.7% and 91.4% for females and males, respectively. Leave-one-out test also shows that the method has a high accuracy.</abstract><cop>Cairo, Egypt</cop><pub>Hindawi Puplishing Corporation</pub><pmid>24312134</pmid><doi>10.1155/2013/251628</doi><tpages>6</tpages><orcidid>https://orcid.org/0000-0002-3849-8532</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Adult Aged Asian Continental Ancestry Group Bioengineering China Engineering Sciences Female Forensic Anthropology - statistics & numerical data Humans Imaging Imaging, Three-Dimensional Life Sciences Male Middle Aged Models, Anatomic Models, Statistical Sex Determination by Skeleton - statistics & numerical data Signal and Image processing Skull - anatomy & histology Skull - diagnostic imaging Tomography, X-Ray Computed Young Adult |
| title | Automatic Sex Determination of Skulls Based on a Statistical Shape Model |
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