TimTrack: A drift-free algorithm for estimating geometric muscle features from ultrasound images.

ABSTRACT: Ultrasound imaging is valuable for non-invasively estimating fascicle lengths and other features of pennate muscle, especially when performed computationally. Effective analysis techniques to date typically use optic flow to track displacements from image sequences, but are sensitive to integration drift for longer sequences. We here present an alternative algorithm that objectively estimates geometric features of pennate muscle from ultrasound images, without drift sensitivity. The algorithm identifies aponeuroses and estimates fascicle angles to derive fascicle lengths. Length estimates of human vastus lateralis and gastrocnemius fascicles in healthy subjects (N = 9 and N = 17 respectively) compared well (overall root-mean-square difference, RMSD = 0.52 cm) to manual estimates by indepen

SUBMITTER: van der Zee TJ 

PROVIDER: S-EPMC8947026 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature