Literature DB >> 19106000

Measurement of body segment parameters using dual energy X-ray absorptiometry and three-dimensional geometry: an application in gait analysis.

Mei Kay Lee1, Ngoc Sang Le, Anthony C Fang, Michael T H Koh.   

Abstract

Body segment parameters (BSP) are essential input for the computations in kinetics of motion applied in the field of biomechanics. These data are usually obtained from population-specific predictive equations which present limitations in being representative of the population under study. More recently, medical imaging techniques have been adopted but are limited to two-dimensional (2-D) measurements or required extensive tomographic images for three-dimensional (3-D) reconstruction. We proposed an in vivo method to measure 3-D BSP using X-ray imaging and 3-D exterior geometry. Criterion values of the BSP were determined using magnetic resonance imaging (MRI) which has previously been validated. Errors for all BSP values were less than 2% when values derived from our method were compared to the criterion values. We found no significant difference between our method and four selected BSP models in both stance and swing phase. Significant phase effects were observed for our method and other BSP models between stance and swing phase. Significant differences (p<0.05) between root mean square error (RMSE) ranged from 0.0177 to 0.0234 and 0.0234 to 0.097 Nmkg(-1) for the knee and hip joints, respectively. However, these BSP variations brought about effects on moment output that were less than 0.09 Nmkg(-1). Our findings suggest joint kinetic computations during normal gait are relatively insensitive to BSP variations. However, the influence of BSP cannot be undermined in movements that generate higher acceleration at the limbs. Considering the accuracy of our method, it could be used as a novel in vivo method to obtain direct 3-D BSP measurements.

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Year:  2008        PMID: 19106000     DOI: 10.1016/j.jbiomech.2008.10.036

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  8 in total

1.  Segmental Musculoskeletal Examinations using Dual-Energy X-Ray Absorptiometry (DXA): Positioning and Analysis Considerations.

Authors:  Nicolas H Hart; Sophia Nimphius; Tania Spiteri; Jodie L Cochrane; Robert U Newton
Journal:  J Sports Sci Med       Date:  2015-08-11       Impact factor: 2.988

2.  Body Segment Inertial Parameters of elite swimmers Using DXA and indirect Methods.

Authors:  Marcel Rossi; Andrew Lyttle; Amar El-Sallam; Nat Benjanuvatra; Brian Blanksby
Journal:  J Sports Sci Med       Date:  2013-12-01       Impact factor: 2.988

3.  Estimation of spinopelvic muscles' volumes in young asymptomatic subjects: a quantitative analysis.

Authors:  Celia Amabile; Bertrand Moal; Oussama Arous Chtara; Helene Pillet; Jose G Raya; Antoine Iannessi; Wafa Skalli; Virginie Lafage; Nicolas Bronsard
Journal:  Surg Radiol Anat       Date:  2016-09-16       Impact factor: 1.246

Review 4.  Methodological factors affecting joint moments estimation in clinical gait analysis: a systematic review.

Authors:  Valentina Camomilla; Andrea Cereatti; Andrea Giovanni Cutti; Silvia Fantozzi; Rita Stagni; Giuseppe Vannozzi
Journal:  Biomed Eng Online       Date:  2017-08-18       Impact factor: 2.819

5.  Combining 3D optical imaging and dual energy absorptiometry to measure three compositional components.

Authors:  Serghei Malkov; John Shepherd
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2014-02-17

6.  A method for direct measurement of the first-order mass moments of human body segments.

Authors:  Yusaku Fujii; Kazuhito Shimada; Koichi Maru; Junichi Ozawa; Rong-Sheng Lu
Journal:  Sensors (Basel)       Date:  2010-10-12       Impact factor: 3.576

7.  Estimation of spatial-temporal gait parameters using a low-cost ultrasonic motion analysis system.

Authors:  Yongbin Qi; Cheong Boon Soh; Erry Gunawan; Kay-Soon Low; Rijil Thomas
Journal:  Sensors (Basel)       Date:  2014-08-20       Impact factor: 3.576

8.  Whole-body dual-energy X-ray absorptiometry demonstrates better reliability than segmental body composition analysis in college-aged students.

Authors:  Petr Kutáč; Václav Bunc; Martin Sigmund
Journal:  PLoS One       Date:  2019-04-22       Impact factor: 3.240

  8 in total

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