Determination of personalized inertial parameters of lower limb by biplanar low-dose radiography

Abstract The inertial parameters of body segments are essential data in biomechanics. However, they are usually obtained from standard estimations in the literature. Medical imaging and video-based techniques were recently reported but present limitations. Some techniques provide only 2D measurements, while other techniques require a lot of tomographic images for a three-dimensional (3D) reconstruction. An original method is proposed to compute personalized inertial parameters from biplanar radiography. Simultaneous low-dose frontal and sagittal X-rays were obtained with EOS™ system. The thigh segments of six young males and six young females were studied and the personalized parameters were compared to the literature. The biplanar radiography method was coherent with estimations based on γ-ray scan, DEXA and MRI. Personalized inertial parameters from low-dose biplanar radiography should be further studied for other segments and other populations.

[1]  J. Reid,et al.  Human Body Segment Inertia Parameters: A Survey and Status Report , 1990, Exercise and sport sciences reviews.

[2]  Laura Dekker,et al.  3D whole body scanning to determine mass properties of legs. , 2002, Journal of biomechanics.

[3]  D. Pearsall,et al.  The effect of segment parameter error on gait analysis results. , 1999, Gait & posture.

[4]  Z Ladin,et al.  A video-based system for the estimation of the inertial properties of body segments. , 1993, Journal of biomechanics.

[5]  F. Trochu A contouring program based on dual kriging interpolation , 1993, Engineering with Computers.

[6]  Brian Mirtich,et al.  Fast and Accurate Computation of Polyhedral Mass Properties , 1996, J. Graphics, GPU, & Game Tools.

[7]  J. Dowling,et al.  Analysis of body segment parameter differences between four human populations and the estimation errors of four popular mathematical models. , 2003, Journal of biomechanical engineering.

[8]  D Mitton,et al.  A Biplanar Reconstruction Method Based on 2D and 3D Contours: Application to the Distal Femur , 2003, Computer methods in biomechanics and biomedical engineering.

[9]  S. A. Regirer,et al.  Contemporary problems of biomechanics , 1990 .

[10]  Hartmut Witte,et al.  ISB recommendation on definitions of joint coordinate system of various joints for the reporting of human joint motion--part I: ankle, hip, and spine. International Society of Biomechanics. , 2002, Journal of biomechanics.

[11]  C. L. Chen,et al.  Segment inertial properties of Chinese adults determined from magnetic resonance imaging. , 2000, Clinical biomechanics.

[12]  D. R. White,et al.  Average soft-tissue and bone models for use in radiation dosimetry. , 1987, The British journal of radiology.

[13]  Bryan Buchholz,et al.  ISB recommendation on definitions of joint coordinate systems of various joints for the reporting of human joint motion--Part II: shoulder, elbow, wrist and hand. , 2005, Journal of biomechanics.

[14]  P. Leva Adjustments to Zatsiorsky-Seluyanov's segment inertia parameters. , 1996 .