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Automatic 3D Shape Severity Quantification and Localization for Deformational Plagiocephaly

Summary: Automatic 3D Shape Severity Quantification and Localization
for Deformational Plagiocephaly
Indriyati Atmosukarto1, Linda G. Shapiro1, Michael L. Cunningham2,4, Matthew Speltz3,4
1Department of Computer Science and Engineering
2Department of Pediatrics
3Department of Psychiatry and Behavioral Sciences
4Children's Craniofacial Center, Children's Hospital
University of Washington, Seattle, WA, USA
Recent studies have shown an increase in the occurrence of deformational plagiocephaly and brachycephaly in
children. This increase has coincided with the "Back to Sleep" campaign that was introduced to reduce the risk
of Sudden Infant Death Syndrome (SIDS). However, there has yet to be an objective quantification of the degree
of severity for these two conditions. Most diagnoses are done on subjective factors such as patient history and
physician examination. The existence of an objective quantification would help research in areas of diagnosis and
intervention measures, as well as provide a tool for finding correlation between the shape severity and cognitive
outcome. This paper describes a new shape severity quantification and localization method for deformational
plagiocephaly and brachycephaly. Our results show that there is a positive correlation between the new shape
severity measure and the scores entered by a human expert.
Keywords: 3D Shape Quantification, 3D Shape Analysis


Source: Anderson, Richard - Department of Computer Science and Engineering, University of Washington at Seattle


Collections: Computer Technologies and Information Sciences