Facial image classification of mouse embryos for the animal model study of fetal alcohol syndrome

Authors:
Shiaofen Fang;Ying Liu;Jeffrey Huang;Sophia Vinci-Booher;Bruce Anthony;Feng Zhou
Affiliations:
Indiana University Purdue University Indianapolis, Indianapolis, IN;Indiana University Purdue University Indianapolis, Indianapolis, IN;Indiana University Purdue University Indianapolis, Indianapolis, IN;Indiana Univ. Medical Center, Indianapolis, IN;Indiana Univ. Medical Center, Indianapolis, IN;Indiana Univ. Medical Center, Indianapolis, IN
Venue:
Proceedings of the 2009 ACM symposium on Applied Computing
Year:
2009

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Abstract

Fetal Alcohol Syndrome (FAS) is a developmental disorder caused by maternal drinking during pregnancy. Computerize imaging techniques have been applied to study human facial dysmorphology associated with FAS. This paper describes a new facial image analysis method based on a multi-angle image classification technique using micro-video images of mouse embryo. Images taken from several different angles are analyzed separately, and the results are combined for classifications that separate embryos with and without alcohol exposures. Analysis results from animal models provide critical references for the understanding of FAS and potential therapy solutions for human patients.