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Texture analysis of ultrasound images is a sensitive method to follow‐up muscle damage induced by eccentric exercise
Author(s) -
Matta Thiago Torres da,
Pereira Wagner Coelho de Albuquerque,
Radaelli Regis,
Pinto Ronei Silveira,
Oliveira Liliam Fernandes de
Publication year - 2018
Publication title -
clinical physiology and functional imaging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.608
H-Index - 67
eISSN - 1475-097X
pISSN - 1475-0961
DOI - 10.1111/cpf.12441
Subject(s) - medicine , eccentric , ultrasound , eccentric training , grey level , eccentric exercise , muscle damage , texture (cosmology) , elbow , anatomy , cardiology , pixel , radiology , image (mathematics) , artificial intelligence , physics , quantum mechanics , computer science
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 <0·05). Significant increases ( P <0·05) were observed for COR (48, 72 and 96 h) and EI only at 72 and 96 h. The increasing COR represents high similarity between grey levels, which could be observed on US images after few days on eccentric training for elbow flexors.