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Updated: Apr 27, 2026

Ultrasound Tissue Characterization of Human Achilles Tendon by Stability Quantification of Echo Patterns
Published on: September 5, 2025
Quantitative analysis of ultrasound echo intensity dynamics in pennate skeletal muscle during passive stretching,
Yongsheng Lin1, Mianfang Ruan2, Haoxin Chen1
1School of Biomedical Engineering, Medical School, Shenzhen University, Shenzhen, China.
Objective:
Quantitative ultrasound imaging enables real-time assessment of skeletal muscle contraction. However, traditional muscle structural parameters can be compromised by unstable imaging during intense contractions.
Methods:
We introduce an echo intensity (EI)-based method to quantify contraction activity in pennate skeletal muscle. The approach was evaluated in three representative scenarios using longitudinal ultrasound images: passive stretching (gastrocnemius, n = 20), active plantar flexion (gastrocnemius, n = 8), and treadmill sprinting (biceps femoris long head, n = 5).
Results:
In passive stretching, inverted normalized EI correlated strongly with algorithm-derived pennation angle (Pearson r = 0.81±0.17, p<0.001). During active plantar flexion, inverted EI signals were temporally aligned with muscle torque via cross-correlation, yielding a high correlation (Pearson r = 0.91±0.06, p<0.001). In comparison, algorithm-derived traditional structural parameters showed moderate correlations with torque, including pennation angle (r = 0.68±0.19), fascicle length (r = -0.69±0.31), and muscle thickness (r = -0.59±0.37). For rapid sprinting, inverted EI exhibited clear periodicity consistent with subjects' stride cycles and correlated with the root mean square (RMS) of the surface electromyography signal after alignment (Pearson r = 0.59±0.16, p<0.001). Notably, EI provides accurate temporal tracking of contraction events observed in conventional reference measures, while amplitude correspondence remains variable.
Conclusions:
These findings demonstrate that EI can serve as a quantitative, real-time ultrasonic biomarker for dynamic muscle contraction, highlighting its potential for further methodological development and imaging-based assessments.
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