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Imaging Method: Technological and Computing Innovations

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Best Practice Protocols for Physique Assessment in Sport

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Abstract

Technological and computing innovations are rapidly transforming the tools we employ for recording, measuring, collating and interpreting body dimension and composition assessments. Three-dimensional body scanning systems integrated with other imaging modalities to create multi-faceted digital human profiles, and artificial intelligence techniques such as deep learning and artificial neural networks, are set to revolutionise the physique assessment landscape over the coming decade. Dual-energy X-ray absorptiometry is regarded as the current gold standard for determining body fat percentage and lean mass. Leveraging computer vision techniques, it is now possible to register an individual’s dual-energy X-ray absorptiometry-derived body composition with the mesh exported by the same individual’s three-dimensional body scan.

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Authors and Affiliations

  1. University of Western Australia, Crawley, WA, Australia

    Jacqueline A. Alderson

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  1. Jacqueline A. Alderson
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Correspondence to Jacqueline A. Alderson .

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Editors and Affiliations

  1. Sport Performance Research Institute New Zealand, Auckland University of Technology, Auckland, New Zealand

    Patria A. Hume

  2. School of Public Health, Curtin University, Perth, West Australia, Australia

    Deborah A. Kerr

  3. School of Sport Science, Exercise and Health, The University of Western Australia, Perth, West Australia, Australia

    Timothy R. Ackland

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Alderson, J.A. (2018). Imaging Method: Technological and Computing Innovations. In: Hume, P., Kerr, D., Ackland, T. (eds) Best Practice Protocols for Physique Assessment in Sport. Springer, Singapore. https://doi.org/10.1007/978-981-10-5418-1_14

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  • DOI: https://doi.org/10.1007/978-981-10-5418-1_14

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-5417-4

  • Online ISBN: 978-981-10-5418-1

  • eBook Packages: MedicineMedicine (R0)

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