Frequency Analysis of the Ultrasound Images in Rotator Cuff Tendon

Tendons are hierarchical fibrous tissues. The speckle signals of ultrasonic images have parallel stripes arranged along the long axis of the tendon, reflecting the arrangement of collagen fiber bundles in the tendon. The micro-structure of tendons can be quantified by analyzing the speckle pattern of ultrasonic images. A research team used fast Fourier transform to convert ultrasound images of tendons into two-dimensional spatial frequency spectra, and used linear discriminate analysis to calculate multiple spatial frequency parameters. The results indicated that there were 5 parameters with the highest accuracy in discriminating Achilles tendinopathy. There is a significant difference in the spectrum frequency parameters of whether the tendon was loaded and whether there was a tendinopathy tendon. Past studies using spatial frequency analysis in patients with shoulder pain, and they found that there was no significant difference between the asymptomatic control group and shoulder pain patients. The risk factors of rotator cuff tendon injury is related advanced age, dominant hand, and repeated overhead activities. Therefore, in this study, we will recruit participants of different ages and investigate the results of spatial frequency analysis of bilateral shoulders ultrasound images. The aim of this study is to know whether these factors may affect the micro-structure of the rotator cuff tendons and establish the reference norm of spatial frequency analysis parameters in those without obvious tendon degeneration or injury. In addition, we aim to compare the differences between spectrum analysis parameters with several instruments by using different ultrasonic equipment. This study could provide a reference for the clinical application of spatial frequency analysis in tendon ultrasound images.