Reliability and validity of Depth Camera 3D scanning to determine thigh volume

Kordi, Mehdi, Haralabidis, Nicos, Huby, Matthew, Barratt, Paul, Howatson, Glyn and Wheat, Jon Stephen (2019) Reliability and validity of Depth Camera 3D scanning to determine thigh volume. Journal of Sports Sciences, 37 (1). pp. 36-41. ISSN 0264-0414

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Kordi et al - Reliability and validity of Depth Camera 3D scanning to determine thigh volume AAM.pdf - Accepted Version
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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.

Item Type: Article
Uncontrolled Keywords: kinanthropometry; anthropometry; depth camera; 3D body scanning; surface imaging
Subjects: B800 Medical Technology
C600 Sports Science
Department: Faculties > Health and Life Sciences > Sport, Exercise and Rehabilitation
Depositing User: Paul Burns
Date Deposited: 24 May 2018 15:48
Last Modified: 12 Oct 2019 11:06

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