Nielsen P K, Jensen B R, Darvann T, Jørgensen K, Bakke M
Department of Physiology, National Institute of Occupational Health, Copenhagen, Denmark.
Clin Biomech (Bristol). 2000;15 Suppl 1:S13-6. doi: 10.1016/s0268-0033(00)00053-x.
To develop and validate a method, based on quantitative ultrasound image analysis, to objectively analyse and characterize the ultrasound images of m. supraspinatus.
Quantitative ultrasonography was performed on the supraspinatus muscle of 14 healthy subjects.
A computerized analysis using first-order grey-scale statistics to evaluate the muscle tissue composition was developed and validated.
Data from one scanning site were not representative for the whole muscle due to muscle inhomogenity. Using first-order grey-scale statistics the scanning direction was of no importance. By using a scanning session consisting of three different scanning sites along the muscle in two directions, longitudinally and transversely, to characterize the tissue composition of the muscle, a high day-to-day reproducibility was obtained.
The described scanning session is a relatively sensitive and reproducible method for studying the muscle tissue composition. RelevanceQuantitative ultrasonography seems to be a potential clinical and occupational examination method to detect tissue composition of myalgic muscles compared to healthy muscles.
开发并验证一种基于定量超声图像分析的方法，以客观分析和表征冈上肌的超声图像。
对14名健康受试者的冈上肌进行定量超声检查。
开发并验证了一种使用一阶灰度统计来评估肌肉组织成分的计算机化分析方法。
由于肌肉不均匀性，来自一个扫描部位的数据不能代表整个肌肉。使用一阶灰度统计时，扫描方向并不重要。通过在肌肉的两个方向（纵向和横向）上沿着肌肉使用由三个不同扫描部位组成的扫描流程来表征肌肉的组织成分，获得了较高的每日重复性。
所描述的扫描流程是研究肌肉组织成分的一种相对敏感且可重复的方法。相关性与健康肌肉相比，定量超声检查似乎是一种检测肌痛性肌肉组织成分的潜在临床和职业检查方法。
