Shape-Based Classification of 3D Head Data

Authors:
Linda G. Shapiro;Katarzyna Wilamowska;Indriyati Atmosukarto;Jia Wu;Carrie Heike;Matthew Speltz;Michael Cunningham
Affiliations:
University of Washington, Seattle, U.S.A. 98195;University of Washington, Seattle, U.S.A. 98195;University of Washington, Seattle, U.S.A. 98195;University of Washington, Seattle, U.S.A. 98195;University of Washington, Seattle, U.S.A. 98195;University of Washington, Seattle, U.S.A. 98195;University of Washington, Seattle, U.S.A. 98195
Venue:
ICIAP '09 Proceedings of the 15th International Conference on Image Analysis and Processing
Year:
2009

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Abstract

Craniofacial disorders are one of the most common category of birth defects worldwide, and are an important topic of biomedical research. In order to better understand these disorders and correlate them with genetic patterns and life outcomes, researchers need to quantify the craniofacial anatomy. In this paper we introduce several different craniofacial descriptors that are being used in research studies for two craniofacial disorders: the 22q11.2 deletion syndrome (a genetic disorder) and plagiocephaly/brachycephaly, disorders caused by pressure on the head. Experimental results show that our descriptors show promise for quantifying craniofacial shape.