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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    Titel :

    A statistical human rib cage geometry model accounting for variations by age, sex, stature and body mass index


    Beteiligte:
    Shi, Xiangnan (Autor:in) / Cao, Libo (Autor:in) / Reed, Matthew P. (Autor:in) / Rupp, Jonathan D. (Autor:in) / Hoff, Carrie N. (Autor:in) / Hu, Jingwen (Autor:in)

    Erschienen in:

    Journal of Biomechanics ; 47 , 10 ; 2277-2285


    Erscheinungsdatum :

    2014


    Format / Umfang :

    9 Seiten, 29 Quellen




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Print


    Sprache :

    Englisch




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