Fully Automated Analysis of Muscle Architecture from B-Mode Ultrasound Images with DL_Track_US

P Ritsche, MV Franchi, O Faude, T Finni… - Ultrasound in Medicine …, 2024 - Elsevier
Objective B-mode ultrasound can be used to image musculoskeletal tissues, but one major
bottleneck is analyses of muscle architectural parameters (ie, muscle thickness, pennation …

A Dual‐Mode, Scalable, Machine‐Learning‐Enhanced Wearable Sensing System for Synergetic Muscular Activity Monitoring

T Wang, D Jiang, Y Lu, N Xu, Z Wang… - Advanced Materials …, 2024 - Wiley Online Library
Simultaneously detecting muscular deformation and biopotential signals provides
comprehensive insights of the muscle activity. However, the substantial size and weight of …

Optimized uniform sampling and validation of fiber tracts from magnetic resonance tractography for in vivo architectural measurement of human forearm muscles

Y Li, S Ma, J Zhao, Q Li, X Sheng - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In vivo muscle architectural parameters can be calculated from the fiber tracts using
magnetic resonance (MR) tractography. However, the reconstructed tracts may be unevenly …

UltraTimTrack: a Kalman-filter-based algorithm to track muscle fascicles in ultrasound image sequences

TJ van der Zee, P Tecchio, D Hahn, BJ Raiteri - bioRxiv, 2024 - biorxiv.org
Background: Brightness-mode (B-mode) ultrasound is a valuable tool to non-invasively
image skeletal muscle architectural changes during movement, but automatically estimating …