ArticlePloS one2022
TimTrack: A drift-free algorithm for estimating geometric muscle features from ultrasound images.
Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Effects of Two-Way Ballistic Versus Jump Squat Training on Explosive Strength and Neuromuscular Adaptations in Highly Trained Sprinters.Scandinavian journal of medicine & science in sports · 2026Trial
- UMUD: a web application for easy access to musculoskeletal ultrasonography datasets.BMC medical imaging · 2026Article
- UltraTimTrack: a Kalman-filter-based algorithm to track muscle fascicles in ultrasound image sequences.PeerJ. Computer science · 2025Article
- Comparison of manual and semi-automated algorithm for measuring architectural features during different isometric knee extension intensities: a reliability and comparative study in novice raters.Frontiers in rehabilitation sciences · 2025Article
- Quantitative Muscle Fascicle Tractography Using Brightness-Mode Ultrasound.Journal of applied biomechanics · 2023Article
- Improved Fascicle Length Estimates From Ultrasound Using a U-net-LSTM Framework.IEEE ... International Conference on Rehabilitation Robotics : [proceedings] · 2023Article
- Age-Related Reliability of B-Mode Analysis for Tailored Exosuit Assistance.Sensors (Basel, Switzerland) · 2023Article
- A clustering-based method for estimating pennation angle from B-mode ultrasound images.Wearable technologies · 2023Article
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
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 independent observers (n = 3), with overall coefficient of multiple correlation (CMC) of 0.98. Our tests yielded accuracy (CMC, RMSD) and processing speed similar to or exceeding that of state-of-the-art algorithms. The algorithm requires minimal manual intervention and can optionally extrapolate fascicle lengths that extend beyond the image frame. It thus facilitates automated analysis of ultrasound images without drift.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.