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dc.contributor.authorJu, Xiangyang
dc.contributor.authorGarcia Junior, Idelmo Rangel [UNESP]
dc.contributor.authorSilva, Leonardo de Freitas [UNESP]
dc.contributor.authorMossey, Peter
dc.contributor.authorAl-Rudainy, Dhelal
dc.contributor.authorAyoub, Ashraf
dc.contributor.authorMattos, Adriana Marques de
dc.contributor.authorLi, W.
dc.contributor.authorLi, Q.
dc.contributor.authorWang, L.
dc.date.accessioned2019-10-05T17:14:05Z
dc.date.available2019-10-05T17:14:05Z
dc.date.issued2018-01-01
dc.identifier.citation2018 11th International Congress On Image And Signal Processing, Biomedical Engineering And Informatics (cisp-bmei 2018). New York: Ieee, 4 p., 2018.
dc.identifier.urihttp://hdl.handle.net/11449/186684
dc.description.abstractThe babies infected from Zika before they are born are at risk for problems with brain development and microcephaly. 3D head images of 43 Zika cases and 43 controls were collected aiming to extract shape characteristics for diagnosis purposes. Principal component analysis (PCA) has been applied on the vaults and faces of the collected 3D images and the scores on the second principal components of the vaults and faces showed significant differences between the control and Zika groups. The shape variations from -2s to 2s illustrated the typical characteristics of microcephaly of the Zika babies. Canonical correlation analysis (CCA) showed a significant correlation in the first CCA variates of face and vault which indicated the potential of 3D facial imaging for Zika surveillance. Further head circumferences and distances from ear to ear were measured from the 3D images and preliminary results showed the adding ear to ear distances for classifying control and Zika children strengthened the abilities of tested classification models.en
dc.format.extent4
dc.language.isoeng
dc.publisherIeee
dc.relation.ispartof2018 11th International Congress On Image And Signal Processing, Biomedical Engineering And Informatics (cisp-bmei 2018)
dc.sourceWeb of Science
dc.subject3D imaging
dc.subjectshape analysis
dc.subjectZika
dc.title3D Head Shape Analysis of Suspected Zika Infected Infantsen
dc.typeTrabalho apresentado em evento
dcterms.licensehttp://www.ieee.org/publications_standards/publications/rights/rights_policies.html
dcterms.rightsHolderIeee
dc.contributor.institutionNHS Greater Glasgow & Clyde
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.contributor.institutionUniv Dundee
dc.contributor.institutionUniv Glasgow
dc.contributor.institutionRoberto Santos Gen Hosp
dc.description.affiliationNHS Greater Glasgow & Clyde, Med Devices Unit, Glasgow, Lanark, Scotland
dc.description.affiliationSao Paulo State Univ, UNESP Sch Dent Aracatuba, Aracatuba, SP, Brazil
dc.description.affiliationUniv Estadual Paulista, Aracatuba Dent Sch, Aracatuba, SP, Brazil
dc.description.affiliationUniv Dundee, Sch Dent, Dundee, Scotland
dc.description.affiliationUniv Glasgow, Coll MVLS, Sch Dent, Glasgow, Lanark, Scotland
dc.description.affiliationRoberto Santos Gen Hosp, Salvador, BA, Brazil
dc.description.affiliationUnespSao Paulo State Univ, UNESP Sch Dent Aracatuba, Aracatuba, SP, Brazil
dc.description.affiliationUnespUniv Estadual Paulista, Aracatuba Dent Sch, Aracatuba, SP, Brazil
dc.identifier.wosWOS:000462163500103
dc.rights.accessRightsAcesso aberto
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