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3D ultrasound imaging: Fast and cost-effective morphometry of musculoskeletal tissue

Authors :
Richard T. Jaspers
Jaap Harlaar
Guido Weide
Stephan van der Zwaard
Peter A. Huijing
Amsterdam Movement Sciences - Restoration and Development
Rehabilitation medicine
Physiology
AMS - Ageing and Morbidity
AMS - Sports and Work
Neuromechanics
Source :
Journal of Visualized Experiments, 2017(129):e55943. MYJoVE Corporation, Weide, G, Van Der Zwaard, S, Huijing, P A, Jaspers, R T & Harlaar, J 2017, ' 3D ultrasound imaging : Fast and cost-effective morphometry of musculoskeletal tissue ', Journal of Visualized Experiments, vol. 2017, no. 129, e55943 . https://doi.org/10.3791/55943, Journal of Visualized Experiments : JoVE
Publication Year :
2017

Abstract

The developmental goal of 3D ultrasound imaging (3DUS) is to engineer a modality to perform 3D morphological ultrasound analysis of human muscles. 3DUS images are constructed from calibrated freehand 2D B-mode ultrasound images, which are positioned into a voxel array. Ultrasound (US) imaging allows quantification of muscle size, fascicle length, and angle of pennation. These morphological variables are important determinants of muscle force and length range of force exertion. The presented protocol describes an approach to determine volume and fascicle length of m. vastus lateralis and m. gastrocnemius medialis. 3DUS facilitates standardization using 3D anatomical references. This approach provides a fast and cost-effective approach for quantifying 3D morphology in skeletal muscles. In healthcare and sports, information on the morphometry of muscles is very valuable in diagnostics and/or follow-up evaluations after treatment or training.

Details

Language :
English
ISSN :
1940087X
Database :
OpenAIRE
Journal :
Journal of Visualized Experiments, 2017(129):e55943. MYJoVE Corporation, Weide, G, Van Der Zwaard, S, Huijing, P A, Jaspers, R T & Harlaar, J 2017, ' 3D ultrasound imaging : Fast and cost-effective morphometry of musculoskeletal tissue ', Journal of Visualized Experiments, vol. 2017, no. 129, e55943 . https://doi.org/10.3791/55943, Journal of Visualized Experiments : JoVE
Accession number :
edsair.doi.dedup.....4afc03ebac6077ca74fc6f574597b970
Full Text :
https://doi.org/10.3791/55943