Login / Signup

The Application of Texture Feature Analysis of Rectus Femoris Based on Local Binary Pattern (LBP) Combined With Gray-Level Co-Occurrence Matrix (GLCM) in Sarcopenia.

Xinyi TangYujia YangLi HuangLi Qiu
Published in: Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine (2021)
LBP combined with GLCM can be a stable method for extracting muscle texture features. At the same time, the contrast, entropy, and homogeneity of the rectus femoris of the elderly with sarcopenia were significantly different from those of the young volunteers and the elderly without sarcopenia, suggesting the texture features of rectus femoris are potential parameters for evaluating muscle function and pathological changes.
Keyphrases
  • community dwelling
  • skeletal muscle
  • contrast enhanced
  • middle aged
  • magnetic resonance
  • magnetic resonance imaging
  • machine learning
  • computed tomography
  • deep learning
  • ionic liquid
  • risk assessment
  • human health