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Texture analysis of ultrasound images is a sensitive method to follow‐up muscle damage induced by eccentric exercise

Summary The grey level of co‐occurrence matrix (GLCM) is a texture analysis approach accounting for spatial distribution of the pixels from an image and can be a promising method for exercise‐induced muscle damage (EIMD) studies. We followed up the time changes of two GLCM texture parameters and ech...

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Published in:Clinical physiology and functional imaging 2018-05, Vol.38 (3), p.477-482
Main Authors: Matta, Thiago Torres da, Pereira, Wagner Coelho de Albuquerque, Radaelli, Regis, Pinto, Ronei Silveira, Oliveira, Liliam Fernandes de
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Language:English
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Summary:Summary The grey level of co‐occurrence matrix (GLCM) is a texture analysis approach accounting for spatial distribution of the pixels from an image and can be a promising method for exercise‐induced muscle damage (EIMD) studies. We followed up the time changes of two GLCM texture parameters and echo intensity (EI) on ultrasound images after eccentric contractions. Thirteen untrained women performed two sets of ten elbow flexions eccentric contractions. Ultrasound images were acquired at baseline and 24 h, 48 h, 72 h and 96 h after exercise. Two GLCM texture parameters were calculated for the brachialis muscle: contrast (CON) and correlation (COR). Peak torque, EI, muscle thickness (MT) and soreness were measured. The peak torque and soreness decreased immediately after the intervention in comparison with all the measures. MT increased immediately after the intervention remaining for 72 h (P
ISSN:1475-0961
1475-097X
DOI:10.1111/cpf.12441