Spatial-frequency Analysis of the Anatomical Differences in Hamstring Muscles.
Scott K CrawfordKenneth S LeeGreg R BashfordBryan C HeiderscheitPublished in: Ultrasonic imaging (2021)
Spatial frequency analysis (SFA) is a quantitative ultrasound method that characterizes tissue organization. SFA has been used for research involving tendon injury, but may prove useful in similar research involving skeletal muscle. As a first step, we investigated if SFA could detect known architectural differences within hamstring muscles. Ultrasound B-mode images were collected bilaterally at locations corresponding to proximal, mid-belly, and distal thirds along the hamstrings from 10 healthy participants. Images were analyzed in the spatial frequency domain by applying a two-dimensional Fourier Transform in all 6.5 × 6.5 mm kernels in a region of interest corresponding to the central portion of the muscle. SFA parameters (peak spatial frequency radius [PSFR], maximum frequency amplitude [Mmax], sum of frequencies [Sum], and ratio of Mmax to Sum [Mmax%]) were extracted from each muscle location and analyzed by separate linear mixed effects models. Significant differences were observed proximo-distally in PSFR (p = .039), Mmax (p < .0001), and Sum (p < .0001), consistent with architectural descriptions of the hamstring muscles. These results suggest that SFA can detect regional differences of healthy tissue structure within the hamstrings-an important finding for future research in regional muscle structure and mechanics.
Keyphrases
- skeletal muscle
- anterior cruciate ligament reconstruction
- magnetic resonance imaging
- deep learning
- optical coherence tomography
- convolutional neural network
- type diabetes
- insulin resistance
- minimally invasive
- metabolic syndrome
- high resolution
- ultrasound guided
- machine learning
- anterior cruciate ligament
- adipose tissue
- resting state
- contrast enhanced ultrasound
- single molecule
- high speed