Abstract
The objective of this study was to create a computer-aided design (CAD) geometric dataset of a 10-year-old (10 YO) child. The study includes two phases of efforts. At Phase One, the 10 YO whole body CAD was developed from component computed tomography and magnetic resonance imaging scans of 12 pediatric subjects. Geometrical scaling methods were used to convert all component parts to the average size for a 10 YO child, based on available anthropometric data. Then the component surfaces were compiled and integrated into a complete body. The bony structures and flesh were adjusted as symmetrical to minimize the bias from a single subject while maintaining anthropometrical measurements. Internal organs including the liver, spleen, and kidney were further verified by literature data. At Phase Two, internal characteristics for the cervical spine disc, wrist, hand, pelvis, femur, and tibia were verified with data measured from additional 94 10 YO children. The CAD dataset developed through these processes was mostly within the corridor of one standard deviation (SD) of the mean. In conclusion, a geometric dataset for an average size 10 YO child was created. The dataset serves as a foundation to develop computational 10 YO whole body models for enhanced pediatric injury prevention.
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Acknowledgments
The initial work of this project was supported by the Southern Consortium for Injury Biomechanics (SCIB) at the University of Alabama at Birmingham, through a grant from the National Highway Transportation Administration (NHTSA). Toyota Collaborative Safety Research Center (CSRC) funded Wayne State University to improve the geometric dataset. Toyota CSRC funded International Center of Automotive Medicine at University of Michigan to perform further measurements for the 10-year-old children. We would like to acknowledge Drs. Wilbur Smith and Aparna Joshi of the Department of Radiology, Wayne State University and the Children’s Hospital of Michigan for their assistance. We acknowledge Patrick Rabban from the University of Michigan for his work on image analysis. We also acknowledge Mr. Stanley J. Marek, Ms. Abigail A. Davidson, Mr. Binhui Jiang, Mr. Liqiang Dong, Mr. Vikas Sanghavi, Mr. Avinash Thirtharajan, and Mr. Nikhil Mone from Wayne State University for their work on image segmentation and geometrical data processing.
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Associate Editor Joel D. Stitzel oversaw the review of this article.
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Mao, H., Holcombe, S., Shen, M. et al. Development of a 10-Year-Old Full Body Geometric Dataset for Computational Modeling. Ann Biomed Eng 42, 2143–2155 (2014). https://doi.org/10.1007/s10439-014-1078-5
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DOI: https://doi.org/10.1007/s10439-014-1078-5