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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Data Brief
February 2025
Technological University Dublin, Faculty of Engineering and Built Environment, School of Surveying and Construction Innovation, Room 334.1, Bolton Street, D01 K822, Dublin, Ireland.
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View Article and Find Full Text PDFJMIR Form Res
January 2025
Department of Psychology, The University of Texas at San Antonio, San Antonio, TX, United States.
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View Article and Find Full Text PDFProteins
January 2025
Department of Statistics, Florida State University, Tallahassee, Florida, USA.
The structures of metalloproteins are essential for comprehending their functions and interactions. The breakthrough of AlphaFold has made it possible to predict protein structures with experimental accuracy. However, the type of metal ion that a metalloprotein binds and the binding structure are still not readily available, even with the predicted protein structure.
View Article and Find Full Text PDFEur Spine J
January 2025
Department of Industrial and Systems Engineering, Auburn University, 3301 Shelby Center, Auburn, AL, 36849-5346, USA.
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View Article and Find Full Text PDFJ Nutr
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Department of Nutritional Sciences, The Pennsylvania State University, University Park, PA, USA.
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