ArticleIEEE transactions on bio-medical engineering2013
Estimating skeletal muscle fascicle curvature from B-mode ultrasound image sequences.
Article in IEEE transactions on bio-medical engineering, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 52 citations in OpenAlex.
- Ultrasound-derived changes in thickness of human ankle plantar flexor muscles during walking and running are not homogeneous along the muscle mid-belly region.Scientific reports · 2019Trial
- Biomechanical energy harvesting to improve post-stroke mobility.Nature communications · 2026Article
- Development of the Muscular and Skeletal System During Adolescence.Advances in experimental medicine and biology · 2026Review
- The impact of diffusion tensor imaging tractography settings on muscle fascicle architecture and diffusion parameter estimates: Tract length, completion, and curvature are most sensitive to tractography settings.NMR in biomedicine · 2024Article
- Quantitative Muscle Fascicle Tractography Using Brightness-Mode Ultrasound.Journal of applied biomechanics · 2023Article
- Muscle preflex response to perturbations in locomotion:Frontiers in bioengineering and biotechnology · 2023Article
- Automated Method for Tracking Human Muscle Architecture on Ultrasound Scans during Dynamic Tasks.Sensors (Basel, Switzerland) · 2022Article
- The Influence of Growth, Maturation and Resistance Training on Muscle-Tendon and Neuromuscular Adaptations: A Narrative Review.Sports (Basel, Switzerland) · 2021Review
- Estimation of absolute states of human skeletal muscle via standard B-mode ultrasound imaging and deep convolutional neural networks.Journal of the Royal Society, Interface · 2020Article
- Foreground Detection Analysis of Ultrasound Image Sequences Identifies Markers of Motor Neurone Disease across Diagnostically Relevant Skeletal Muscles.Ultrasound in medicine & biology · 2019Article
- Automatic Myotendinous Junction Tracking in Ultrasound Images with Phase-Based Segmentation.BioMed research international · 2018Article
- A technical note on variable inter-frame interval as a cause of non-physiological experimental artefacts in ultrasound.Royal Society open science · 2017Article
- Ultrasonic Measurement of Dynamic Muscle Behavior for Poststroke Hemiparetic Gait.BioMed research international · 2017Article
- Article
- Passive Muscle-Tendon Unit Gearing Is Joint Dependent in Human Medial Gastrocnemius.Frontiers in physiology · 2016Article
- An efficient framework for estimation of muscle fiber orientation using ultrasonography.Biomedical engineering online · 2013Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
We address the problem of tracking in vivo muscle fascicle shape and length changes using ultrasound video sequences. Quantifying fascicle behavior is required to improve understanding of the functional significance of a muscle's geometric properties. Ultrasound imaging provides a noninvasive means of capturing information on fascicle behavior during dynamic movements; to date however, computational approaches to assess such images are limited. Our approach to the problem is novel because we permit fascicles to take up nonlinear shape configurations. We achieve this using a Bayesian tracking framework that is: 1) robust, conditioning shape estimates on the entire history of image observations; and 2) flexible, enforcing only a very weak Gaussian Process shape prior that requires fascicles to be locally smooth. The method allows us to track and quantify fascicle behavior in vivo during a range of movements, providing insight into dynamic changes in muscle geometric properties which may be linked to patterns of activation and intramuscular forces and pressures.
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Registered trials
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.