3D Head Shape Analysis of Suspected Zika Infected Infants

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Data

2018-01-01

Autores

Ju, Xiangyang
Garcia Junior, Idelmo Rangel [UNESP]
Silva, Leonardo de Freitas [UNESP]
Mossey, Peter
Al-Rudainy, Dhelal
Ayoub, Ashraf
Mattos, Adriana Marques de
Li, W.
Li, Q.
Wang, L.

Título da Revista

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Título de Volume

Editor

Ieee

Resumo

The 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.

Descrição

Palavras-chave

3D imaging, shape analysis, Zika

Como citar

2018 11th International Congress On Image And Signal Processing, Biomedical Engineering And Informatics (cisp-bmei 2018). New York: Ieee, 4 p., 2018.