Shape-based classification of 3D head data

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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. © 2009 Springer Berlin Heidelberg.

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Shapiro, L. G., Wilamowska, K., Atmosukarto, I., Wu, J., Heike, C., Speltz, M., & Cunningham, M. (2009). Shape-based classification of 3D head data. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5716 LNCS, pp. 692–700). https://doi.org/10.1007/978-3-642-04146-4_74

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