A statistical human rib cage geometry model accounting for variations by age,sex, stature and body mass index |
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| Authors: | Xiangnan Shi Libo Cao Matthew P Reed Jonathan D Rupp Carrie N Hoff Jingwen Hu |
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| Institution: | 1. State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, Hunan University, Changsha, Hunan, China;2. University of Michigan Transportation Research Institute, Ann Arbor, MI, USA;3. Center for Ergonomics, Industrial and Operations Engineering, University of Michigan, Ann Arbor, MI, USA;4. Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA;5. Department of Emergency Medicine, University of Michigan Medical School, Ann Arbor, MI, USA;6. Department of Radiology, University of Michigan Medical School, Ann Arbor, MI, USA |
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| Abstract: | In this study, we developed a statistical rib cage geometry model accounting for variations by age, sex, stature and body mass index (BMI). Thorax CT scans were obtained from 89 subjects approximately evenly distributed among 8 age groups and both sexes. Threshold-based CT image segmentation was performed to extract the rib geometries, and a total of 464 landmarks on the left side of each subject?s ribcage were collected to describe the size and shape of the rib cage as well as the cross-sectional geometry of each rib. Principal component analysis and multivariate regression analysis were conducted to predict rib cage geometry as a function of age, sex, stature, and BMI, all of which showed strong effects on rib cage geometry. Except for BMI, all parameters also showed significant effects on rib cross-sectional area using a linear mixed model. This statistical rib cage geometry model can serve as a geometric basis for developing a parametric human thorax finite element model for quantifying effects from different human attributes on thoracic injury risks. |
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| Keywords: | Rib cage geometry Principal component analysis Regression Vulnerable populations |
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