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Journal Article

Citation

Li Z, Park BK, Liu W, Zhang J, Reed MP, Rupp JD, Hoff CN, Hu J. PLoS One 2015; 10(5): e0127322.

Affiliation

University of Michigan Transportation Research Institute, Ann Arbor, Michigan, United States of America; Department of Mechanical Engineering, University of Michigan, Ann Arbor, Michigan, United States of America.

Copyright

(Copyright © 2015, Public Library of Science)

DOI

10.1371/journal.pone.0127322

PMID

25992998

Abstract

Head injury is the leading cause of fatality and long-term disability for children. Pediatric heads change rapidly in both size and shape during growth, especially for children under 3 years old (YO). To accurately assess the head injury risks for children, it is necessary to understand the geometry of the pediatric head and how morphologic features influence injury causation within the 0-3 YO population. In this study, head CT scans from fifty-six 0-3 YO children were used to develop a statistical model of pediatric skull geometry. Geometric features important for injury prediction, including skull size and shape, skull thickness and suture width, along with their variations among the sample population, were quantified through a series of image and statistical analyses. The size and shape of the pediatric skull change significantly with age and head circumference. The skull thickness and suture width vary with age, head circumference and location, which will have important effects on skull stiffness and injury prediction. The statistical geometry model developed in this study can provide a geometrical basis for future development of child anthropomorphic test devices and pediatric head finite element models.


Language: en

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