3D Head Shape Analysis of Suspected Zika Infected Infants

Xiangyang Ju; Idelmo Rangel Garcia; Leonardo De Freitas Silva; Peter Mossey; Dhelal Al-Rudainy; Ashraf Ayoub; Adriana Marques De Mattos

doi:10.1109/CISP-BMEI.2018.8633125

3D Head Shape Analysis of Suspected Zika Infected Infants

Xiangyang Ju, Idelmo Rangel Garcia, Leonardo De Freitas Silva, Peter Mossey, Dhelal Al-Rudainy, Ashraf Ayoub, Adriana Marques De Mattos

Dentistry

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

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 -2σ to 2σ 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.

Original language	English
Title of host publication	Proceedings - 2018, 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2018
Editors	Qingli Li, Wei Li, Lipo Wang
Publisher	IEEE
Number of pages	4
ISBN (Electronic)	9781538676042
ISBN (Print)	9781538676059
DOIs	https://doi.org/10.1109/CISP-BMEI.2018.8633125
Publication status	Published - 4 Feb 2019
Event	11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2018 - Beijing, China Duration: 13 Oct 2018 → 15 Oct 2018

Conference

Conference	11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2018
Country/Territory	China
City	Beijing
Period	13/10/18 → 15/10/18

Keywords

3D imaging
shape analysis
Zika

ASJC Scopus subject areas

Biomedical Engineering
Artificial Intelligence
Computer Networks and Communications
Computer Vision and Pattern Recognition
Signal Processing
Health Informatics

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10.1109/CISP-BMEI.2018.8633125

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Ju, X., Garcia, I. R., De Freitas Silva, L., Mossey, P., Al-Rudainy, D., Ayoub, A., & De Mattos, A. M. (2019). 3D Head Shape Analysis of Suspected Zika Infected Infants. In Q. Li, W. Li, & L. Wang (Eds.), Proceedings - 2018, 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2018 Article 8633125 IEEE. https://doi.org/10.1109/CISP-BMEI.2018.8633125

@inproceedings{b8b41477b99c4a93b7c03065d7cc0934,

title = "3D Head Shape Analysis of Suspected Zika Infected Infants",

abstract = "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 -2σ to 2σ 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.",

keywords = "3D imaging, shape analysis, Zika",

author = "Xiangyang Ju and Garcia, {Idelmo Rangel} and {De Freitas Silva}, Leonardo and Peter Mossey and Dhelal Al-Rudainy and Ashraf Ayoub and {De Mattos}, {Adriana Marques}",

year = "2019",

month = feb,

day = "4",

doi = "10.1109/CISP-BMEI.2018.8633125",

language = "English",

isbn = "9781538676059",

editor = "Qingli Li and Wei Li and Lipo Wang",

booktitle = "Proceedings - 2018, 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2018",

publisher = "IEEE",

note = "11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2018 ; Conference date: 13-10-2018 Through 15-10-2018",

}

Ju, X, Garcia, IR, De Freitas Silva, L, Mossey, P, Al-Rudainy, D, Ayoub, A & De Mattos, AM 2019, 3D Head Shape Analysis of Suspected Zika Infected Infants. in Q Li, W Li & L Wang (eds), Proceedings - 2018, 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2018., 8633125, IEEE, 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2018, Beijing, China, 13/10/18. https://doi.org/10.1109/CISP-BMEI.2018.8633125

3D Head Shape Analysis of Suspected Zika Infected Infants. / Ju, Xiangyang; Garcia, Idelmo Rangel; De Freitas Silva, Leonardo et al.
Proceedings - 2018, 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2018. ed. / Qingli Li; Wei Li; Lipo Wang. IEEE, 2019. 8633125.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - 3D Head Shape Analysis of Suspected Zika Infected Infants

AU - Ju, Xiangyang

AU - Garcia, Idelmo Rangel

AU - De Freitas Silva, Leonardo

AU - Mossey, Peter

AU - Al-Rudainy, Dhelal

AU - Ayoub, Ashraf

AU - De Mattos, Adriana Marques

PY - 2019/2/4

Y1 - 2019/2/4

N2 - 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 -2σ to 2σ 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.

AB - 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 -2σ to 2σ 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.

KW - 3D imaging

KW - shape analysis

KW - Zika

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U2 - 10.1109/CISP-BMEI.2018.8633125

DO - 10.1109/CISP-BMEI.2018.8633125

M3 - Conference contribution

AN - SCOPUS:85062890820

SN - 9781538676059

BT - Proceedings - 2018, 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2018

A2 - Li, Qingli

A2 - Li, Wei

A2 - Wang, Lipo

PB - IEEE

T2 - 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2018

Y2 - 13 October 2018 through 15 October 2018

ER -

3D Head Shape Analysis of Suspected Zika Infected Infants

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Keywords

ASJC Scopus subject areas

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