Developing and using fast shear wave elastography to quantify physiologically-relevant tendon forces
| Autor: | S.M. Hassan Ahmadzadeh, Xiao Chen, Henrik Hagemann, Anthony M. J. Bull, Meng-Xing Tang |
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| Rok vydání: | 2018 |
| Předmět: |
Male
Shear waves Materials science Time Factors 0206 medical engineering Biophysics Biomedical Engineering 02 engineering and technology Musculoskeletal models’ validation 09 Engineering Tendons 03 medical and health sciences 0302 clinical medicine Ultimate tensile strength Materials Testing medicine Humans Shear wave speed 11 Medical and Health Sciences Tensile testing Shear wave elastography 02 Physical Sciences Tendon forces Equipment Design Middle Aged 020601 biomedical engineering Patellar tendon Tendon Biomechanical Phenomena medicine.anatomical_structure Transducer Shear (geology) Elasticity Imaging Techniques Shear Strength 030217 neurology & neurosurgery Biomedical engineering |
| Zdroj: | Medical engineeringphysics. 69 |
| ISSN: | 1873-4030 |
| Popis: | Direct quantification of physiologically-relevant tendon forces can be used in a wide range of clinical applications. However, tendon forces have usually been estimated either indirectly by computational models or invasively using force transducers, and direct non-invasive measurement of forces remains a big challenge. The aim of this study was to investigate the feasibility of using Shear Wave Elastography (SWE) for quantifying human tendon forces at physiological levels. An experimental protocol was developed to measure Shear Wave Speed (SWS) and tensile force in a human patellar tendon using SWE and conventional tensile testing to quantify the correlation between SWS and load. The SWE system was customised to allow imaging of fast shear waves expected in human tendons under physiological loading which is outside the normal range of the existing SWE systems. SWS increased from 10.8 m/s to 36.1 m/s with the increasing tensile load from 8 N to 935 N and a strong linear correlation between SWS and load (r = 0.99, p |
| Databáze: | OpenAIRE |
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