Literature DB >> 29851357

Reliability and validity of depth camera 3D scanning to determine thigh volume.

Mehdi Kordi1,2, Nicos Haralabidis3, Matthew Huby4, Paul R Barratt1, Glyn Howatson2,5, Jon Stephen Wheat6.   

Abstract

Gross thigh volume is a key anthropometric variable to predict sport performance and health. Currently, it is either estimated by using the frustum method, which is prone to high inter-and intra-observer error, or using medical imaging, which is expensive and time consuming. Depth camera 3D-imaging systems offer a cheap alternative to measure thigh volume but no between-session reliability or comparison to medical imaging has been made. This experiment established between-session reliability and examined agreement with magnetic resonance imaging (MRI). Forty-eight male cyclists had their thigh volume measured by the depth camera system on two occasions to establish between-session reliability. A subset of 32 participants also had lower body MRIs, through which agreement between the depth camera system and MRI was established. The results showed low between-session variability (CV = 1.7%; Absolute Typical Error = 112 cm3) when measuring thigh volume using the depth camera system. The depth camera systematically measured gross thigh volume 32.6cm3 lower than MRI. These results suggest that depth camera 3D-imaging systems are reliable tools for measuring thigh volume and show good agreement with MRI scanners, providing a cheap and time-saving alternative to medical imaging analysis.

Entities:  

Keywords:  3D body scanning; Kinanthropometry; anthropometry; surface imaging

Mesh:

Year:  2018        PMID: 29851357     DOI: 10.1080/02640414.2018.1480857

Source DB:  PubMed          Journal:  J Sports Sci        ISSN: 0264-0414            Impact factor:   3.337


  2 in total

1.  Measuring Volumetric Changes of Equine Distal Limbs: A Pilot Study Examining Jumping Exercise.

Authors:  Steven Johnson; Jennifer Symons
Journal:  Animals (Basel)       Date:  2019-09-30       Impact factor: 2.752

2.  Inertial biometry from commercial 3D body meshes.

Authors:  Alberto E Minetti; Luca Ruggiero
Journal:  Biol Open       Date:  2022-03-28       Impact factor: 2.422

  2 in total

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